Multiple platform build/check report for BioC 3.24 - CHECK results for COTAN on kjohnson3

Hostname	OS	Arch (*)	R version	Installed pkgs
nebbiolo2	Linux (Ubuntu 24.04.4 LTS)	x86_64	4.6.0 RC (2026-04-17 r89917) -- "Because it was There"	4937
kjohnson3	macOS 13.7.7 Ventura	arm64	4.6.0 Patched (2026-05-01 r89994) -- "Because it was There"	4639
Click on any hostname to see more info about the system (e.g. compilers) () as reported by 'uname -p', except on Windows and Mac OS X*

CHECK results for COTAN on kjohnson3

To the developers/maintainers of the COTAN package:
- Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/COTAN.git to reflect on this report. See Troubleshooting Build Report for more information.
- Use the following Renviron settings to reproduce errors and warnings.
- If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information.

raw results

Summary

Package: COTAN

Version: 2.13.1

Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:COTAN.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings COTAN_2.13.1.tar.gz

StartedAt: 2026-05-22 18:55:17 -0400 (Fri, 22 May 2026)

EndedAt: 2026-05-22 19:04:06 -0400 (Fri, 22 May 2026)

EllapsedTime: 529.1 seconds

RetCode: 0

Status: OK

CheckDir: COTAN.Rcheck

Warnings: 0

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:COTAN.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings COTAN_2.13.1.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.24-bioc/meat/COTAN.Rcheck’
* using R version 4.6.0 Patched (2026-05-01 r89994)
* using platform: aarch64-apple-darwin23
* R was compiled by
    Apple clang version 17.0.0 (clang-1700.3.19.1)
    GNU Fortran (GCC) 14.2.0
* running under: macOS Tahoe 26.3.1
* using session charset: UTF-8
* current time: 2026-05-22 22:55:17 UTC
* using option ‘--no-vignettes’
* checking for file ‘COTAN/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘COTAN’ version ‘2.13.1’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... INFO
Imports includes 31 non-default packages.
Importing from so many packages makes the package vulnerable to any of
them becoming unavailable.  Move as many as possible to Suggests and
use conditionally.
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘COTAN’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking whether startup messages can be suppressed ... OK
* checking dependencies in R code ... NOTE
Namespaces in Imports field not imported from:
  ‘BiocStyle’ ‘GEOquery’ ‘R.utils’ ‘conflicted’
  All declared Imports should be used.
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                          user system elapsed
UniformClusters         26.117  0.106  26.219
CalculatingCOEX         21.916  0.027  21.979
HandlingClusterizations 17.855  0.066  17.948
HeatmapPlots            13.389  0.045  13.470
ParametersEstimations    9.038  0.013   9.068
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘outputTestDatasetCreation.R’
  Running ‘spelling.R’
  Running ‘testthat.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 1 NOTE
See
  ‘/Users/biocbuild/bbs-3.24-bioc/meat/COTAN.Rcheck/00check.log’
for details.

Installation output

COTAN.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL COTAN
###
##############################################################################
##############################################################################


* installing to library ‘/Library/Frameworks/R.framework/Versions/4.6/Resources/library’
* installing *source* package ‘COTAN’ ...
** this is package ‘COTAN’ version ‘2.13.1’
** using staged installation
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (COTAN)

Tests output

COTAN.Rcheck/tests/outputTestDatasetCreation.Rout


R version 4.6.0 Patched (2026-05-01 r89994) -- "Because it was There"
Copyright (C) 2026 The R Foundation for Statistical Computing
Platform: aarch64-apple-darwin23

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> 
> # Creates the files to be reloaded by the tests for comparisons
> 
> # nolint start: object_name_linter
> outputTestDatasetCreation <-
+   function(testsDir = file.path("tests", "testthat")) {
+   utils::data("test.dataset", package = "COTAN")
+   prevOptState <- options(parallelly.fork.enable = TRUE)
+   setLoggingLevel(3L)
+ 
+   obj <- COTAN(raw = test.dataset)
+   obj <- initializeMetaDataset(objCOTAN = obj, GEO = " ",
+                                sequencingMethod = "artificial",
+                                sampleCondition = "test")
+ 
+   obj <- proceedToCoex(objCOTAN = obj, cores = 6L, saveObj = FALSE)
+ 
+   if (FALSE) {
+     saveRDS(obj, file = file.path(testsDir, "test.COTAN.RDS"))
+   }
+ 
+   cells.names.test <-
+     getCells(objCOTAN = obj)[c(1L:10L, 591L:610L, 991L:1000L)]
+   genes.names.test <-
+     getGenes(objCOTAN = obj)[c(131L:140L, 291L:310L, 591L: 600L)]
+   saveRDS(cells.names.test, file.path(testsDir, "cells.names.test.RDS"))
+   saveRDS(genes.names.test, file.path(testsDir, "genes.names.test.RDS"))
+ 
+   pcaRaw <- runPCA(x = getRawData(objCOTAN = obj), rank = 10L,
+                    BSPARAM = IrlbaParam(), get.rotation = FALSE)[["x"]]
+ 
+   pca.raw.test <- pcaRaw[genes.names.test, ]
+   saveRDS(pca.raw.test, file.path(testsDir, "pca.raw.test.RDS"))
+ 
+   dispersion.test <- getDispersion(objCOTAN = obj)[genes.names.test]
+   saveRDS(dispersion.test, file.path(testsDir, "dispersion.test.RDS"))
+ 
+   raw.norm.test <-
+     getNuNormData(objCOTAN = obj)[genes.names.test, cells.names.test]
+   saveRDS(raw.norm.test, file.path(testsDir, "raw.norm.test.RDS"))
+ 
+   coex.test <-
+     getGenesCoex(objCOTAN = obj, genes = genes.names.test, zeroDiagonal = FALSE)
+   saveRDS(coex.test, file.path(testsDir, "coex.test.RDS"))
+ 
+   lambda.test <- getLambda(objCOTAN = obj)[genes.names.test]
+   saveRDS(lambda.test, file.path(testsDir, "lambda.test.RDS"))
+ 
+   GDI.test <- calculateGDI(objCOTAN = obj)
+   GDI.test <- GDI.test[genes.names.test, ]
+   saveRDS(GDI.test, file.path(testsDir, "GDI.test.RDS"))
+ 
+   nu.test <- getNu(objCOTAN = obj)[cells.names.test]
+   saveRDS(nu.test, file.path(testsDir, "nu.test.RDS"))
+ 
+   pvalues.test <- calculatePValue(objCOTAN = obj,
+                                   geneSubsetCol = genes.names.test,
+                                   geneSubsetRow = genes.names.test)
+   saveRDS(pvalues.test, file.path(testsDir, "pvalues.test.RDS"))
+ 
+   groupMarkers <- list(G1 = c("g-000010", "g-000020", "g-000138"),
+                        G2 = c("g-000300", "g-000330", "g-000660"),
+                        G3 = c("g-000510", "g-000530", "g-000550",
+                               "g-000570", "g-000590"))
+ 
+   gcsData <- genesCoexSpace(objCOTAN = obj,
+                             primaryMarkers = unlist(groupMarkers),
+                             numGenesPerMarker = 11L)
+ 
+   genes.coex.space.test <- gcsData[["GCS"]]
+   saveRDS(genes.coex.space.test,
+           file.path(testsDir, "genes.coex.space.test.RDS"))
+ 
+   genesClustersData <-
+     establishGenesClusters(objCOTAN = obj,
+                            groupMarkers = groupMarkers,
+                            numGenesPerMarker = 11L,
+                            kCuts = 6L, distance = "cosine",
+                            hclustMethod = "ward.D2")
+ 
+   pca.genes.clusters.test <- genesClustersData[["pca_clusters"]]
+   saveRDS(pca.genes.clusters.test,
+           file.path(testsDir, "pca.genes.clusters.test.RDS"))
+ 
+   # Make it a less strict check as it is only for testing
+   checker <- new("AdvancedGDIUniformityCheck")
+   checker <- shiftCheckerThresholds(checker, 0.1)
+ 
+   initialResolution <- 1.3
+   splitData <- cellsUniformClustering(objCOTAN = obj,
+                                       checker = checker,
+                                       initialResolution = initialResolution,
+                                       useCoexEigen = TRUE,
+                                       dataMethod = "LL",
+                                       numReducedComp = 50L,
+                                       cores = 6L, optimizeForSpeed = TRUE,
+                                       deviceStr = "cuda", saveObj = FALSE)
+ 
+   split.clusters.test <- splitData[["clusters"]]
+   saveRDS(split.clusters.test,
+           file = file.path(testsDir, "split.clusters.test.RDS"))
+ 
+   test.dataset.clusters1 <- split.clusters.test
+   save(test.dataset.clusters1, compress = TRUE,
+        file = file.path("data", "test.dataset.clusters1.rda"))
+ 
+   obj <- addClusterization(objCOTAN = obj,
+                            clName = "split",
+                            clusters = splitData[["clusters"]],
+                            coexDF = splitData[["coex"]])
+ 
+   coex.clusters.test <- splitData[["coex"]][genes.names.test, ]
+   saveRDS(coex.clusters.test, file.path(testsDir, "coex.clusters.test.RDS"))
+ 
+   pvalDF <- pValueFromDEA(splitData[["coex"]],
+                           getNumCells(objCOTAN = obj),
+                           adjustmentMethod = "none")
+ 
+   pvalues.clusters.test <- pvalDF[genes.names.test, ]
+   saveRDS(pvalues.clusters.test,
+           file.path(testsDir, "pvalues.clusters.test.RDS"))
+ 
+   mergedData <- mergeUniformCellsClusters(objCOTAN = obj,
+                                           clusters = splitData[["clusters"]],
+                                           checkers = checker,
+                                           batchSize = 1L,
+                                           cores = 6L,
+                                           distance = "cosine",
+                                           hclustMethod = "ward.D2",
+                                           saveObj = FALSE)
+ 
+   merge.clusters.test <- mergedData[["clusters"]]
+   saveRDS(merge.clusters.test,
+           file = file.path(testsDir, "merge.clusters.test.RDS"))
+ 
+   test.dataset.clusters2 <- merge.clusters.test
+   save(test.dataset.clusters2, compress = TRUE,
+        file = file.path("data", "test.dataset.clusters2.rda"))
+ 
+   obj <- addClusterization(objCOTAN = obj,
+                            clName = "merge",
+                            clusters = mergedData[["clusters"]],
+                            coexDF = mergedData[["coex"]])
+ 
+   options(prevOptState)
+ }
> # nolint end
> 
> proc.time()
   user  system elapsed 
  0.094   0.024   0.112

COTAN.Rcheck/tests/spelling.Rout


R version 4.6.0 Patched (2026-05-01 r89994) -- "Because it was There"
Copyright (C) 2026 The R Foundation for Statistical Computing
Platform: aarch64-apple-darwin23

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> if (requireNamespace("spelling", quietly = TRUE))
+   spelling::spell_check_test(vignettes = TRUE, error = FALSE,
+                              skip_on_cran = TRUE)
All Done!
> 
> proc.time()
   user  system elapsed 
  0.077   0.026   0.095

COTAN.Rcheck/tests/testthat.Rout


R version 4.6.0 Patched (2026-05-01 r89994) -- "Because it was There"
Copyright (C) 2026 The R Foundation for Statistical Computing
Platform: aarch64-apple-darwin23

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> Sys.setenv(R_TESTS = "")
> library(testthat)
> library(COTAN)
> library(zeallot)
> test_check("COTAN")
Setting new log level to 4
Initializing `COTAN` meta-data
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.761075019836426
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.08507895469666
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000221014022827148
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00313591957092285
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.368441104888916
Total calculations elapsed time: 1.45687699317932
Calculate genes' COEX (legacy): DONE
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 5 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 4 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 2.26635813713074
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 7 cells batches
Total calculations elapsed time: 0.356243133544922
Estimate `nu`: DONE
`nu` change (abs) | max: 1.75595238095238 | median:  1.07156808035714 | mean:  1.07156808035714
Estimate `dispersion`/`nu`: START
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.71160101890564
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03734183779544 | max: 4.61112297272667 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.353984117507935
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0295487661210321 | median:  0.016072261901129 | mean:  0.016072261901129
`nu` mean: 1.69786080481514
Marginal errors | max: 1.95799528048 | median 1.32268477389029 | mean: 1.33563364783916
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.730662107467651
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.0585450475968788 | max: 3.52739274166646 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.352809906005859
Estimate `nu`: DONE
`nu` change (abs) | max: 0.417150556912302 | median:  0.240156504520849 | mean:  0.240156504520849
`nu` mean: 0.823005947608547
Marginal errors | max: 0.837672524335755 | median 0.704691669139065 | mean: 0.646575831699997
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.742331981658936
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.328845855849147 | max: 4.03031691940854 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.373214960098267
Estimate `nu`: DONE
`nu` change (abs) | max: 0.164439840041 | median:  0.0957105992188852 | mean:  0.0957105992188852
`nu` mean: 1.06872924082212
Marginal errors | max: 0.260109847946692 | median 0.21392791155499 | mean: 0.197565106613054
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.72908091545105
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.229469002841045 | max: 3.87206403670079 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.38518500328064
Estimate `nu`: DONE
`nu` change (abs) | max: 0.05539667181205 | median:  0.0321044921874999 | mean:  0.0321044921874999
`nu` mean: 0.97670782037545
Marginal errors | max: 0.095347789718808 | median 0.0796003827042702 | mean: 0.0725509735761708
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.70873498916626
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.263830434255107 | max: 3.92953043775907 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.343971014022827
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0196209299693411 | median:  0.0114037947200925 | mean:  0.0114037947200925
`nu` mean: 1.00821713524925
Marginal errors | max: 0.0329495161656741 | median 0.0273479725376307 | mean: 0.0250296751521306
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.758626937866211
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.251734659898779 | max: 3.9096133246649 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.374698162078857
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0069104540740097 | median:  0.0040109538496062 | mean:  0.0040109538496062
`nu` mean: 0.997100499775596
Marginal errors | max: 0.0116950057438405 | median 0.00972280144873938 | mean: 0.00889105008777555
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.70096492767334
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.256009779031907 | max: 3.91667271750655 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.35402512550354
Estimate `nu`: DONE
`nu` change (abs) | max: 0.00251004753849005 | median:  0.00146484374999994 | mean:  0.00146484374999994
`nu` mean: 1.00104520378849
Marginal errors | max: 0.00430755646112857 | median 0.00358203399504298 | mean: 0.00327684342604027
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.695810079574585
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.254429717857093 | max: 3.91406908073254 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.353641033172607
Estimate `nu`: DONE
`nu` change (abs) | max: 0.00104629156456748 | median:  0.000592910406456731 | mean:  0.000592910406456731
`nu` mean: 0.999546618841889
Marginal errors | max: 0.00162038706091039 | median 0.00134441676098973 | mean: 0.00123030512553282
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.683552980422974
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.255022049769696 | max: 3.91504587939868 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.353868961334229
Estimate `nu`: DONE
`nu` change (abs) | max: 0.000418450901304768 | median:  0.000244140625000028 | mean:  0.000244140625000028
`nu` mean: 1.0001743102763
Marginal errors | max: 0.00071569233034019 | median 0.000597297218559056 | mean: 0.000545906995079193
Total calculations elapsed time: 19.4967958927155
Estimate `dispersion`/`nu`: DONE
Estimate `dispersion`/`nu`: START
Initializing `COTAN` meta-data
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.7170569896698
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.12020206451416
Calculating genes' COEX normalization factor
Fraction of genes' with very low expected contingency tables: 0.181818181818182
Calculate genes' normalization factor elapsed time: 0.000277996063232422
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0012519359588623
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.379158973693848
Total calculations elapsed time: 1.5008909702301
Calculate genes' COEX (legacy): DONE
Calculate cells' COEX (legacy): START
Retrieving expected cells' contingency table
calculating NN.. done
calculating YN..NY..YY..t().. done
Expected cells' contingency table elapsed time: 1.13104701042175
Calculating cells' COEX normalization factor
Fraction of cells' with very low expected contingency tables: 0
Calculate cells' normalization factor elapsed time: 0.00030517578125
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.00105500221252441
Estimating cells' COEX
Calculate cells' COEX elapsed time: 0.391331911087036
Total calculations elapsed time: 1.52373909950256
Calculate cells' COEX (legacy): DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00420904159545898
Calculate `GDI`: DONE
Total calculations elapsed time: 0.387101173400879
Calculate GDI dataframe: DONE
'as(<dgeMatrix>, "dgCMatrix")' is deprecated.
Use 'as(., "CsparseMatrix")' instead.
See help("Deprecated") and help("Matrix-deprecated").
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.000699043273925781
Calculate `GDI`: DONE
Total calculations elapsed time: 0.388944864273071
Calculate GDI dataframe: DONE
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Running genes' selection: START
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Running genes' selection: START
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Running genes' selection: START
Selected 5 genes using HGDI selector
Running genes' selection: DONE
Running genes' selection: START
Normalizing layer: counts
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer counts
Calculating gene variances
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Selected 5 genes using HVG_Seurat selector
Running genes' selection: DONE
Running genes' selection: START
Normalizing layer: counts
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer data
Calculating gene means
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating gene variance to mean ratios
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Running genes' selection: START
Given 5 genes as input
Running genes' selection: DONE
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 0.747029781341553
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Included 1 genes with GDI below 1.3
Selected 10 genes using HGDI selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 0.807403087615967
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Selected 8 genes using HGDI selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 0.742271900177002
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Normalizing layer: counts
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer counts
Calculating gene variances
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Selected 8 genes using HVG_Seurat selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 1.14364814758301
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Elaborating COEX Eigen Vectors - START
Elaborating COEX Eigen Vectors - DONE
Total calculations elapsed time: 1.18003392219543
Elaborating Reduced dimensionality Data Matrix - DONE
Elaborating Reduced dimensionality Data Matrix - START
Elaborating COEX Eigen Vectors - START
Elaborating COEX Eigen Vectors - DONE
Total calculations elapsed time: 1.12820792198181
Elaborating Reduced dimensionality Data Matrix - DONE
Initializing `COTAN` meta-data
Initializing `COTAN` meta-data
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`/`nu`: START
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.742816925048828
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.392513990402222
Estimate `nu`: DONE
`nu` change (abs) | max: 1.75719246031746 | median:  1.07229953342014 | mean:  1.07229953342014
`nu` mean: 1.68489292689732
Marginal errors | max: 1.735699617106 | median 1.3799744133366 | mean: 1.32181397451301
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.718728065490723
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.0655494303592343 | max: 3.54400580804152 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.354722023010254
Estimate `nu`: DONE
`nu` change (abs) | max: 0.402649984216273 | median:  0.231868788425666 | mean:  0.231868788425666
`nu` mean: 0.829218804209393
Marginal errors | max: 0.803248939260364 | median 0.677504196374571 | mean: 0.619386446933351
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.717463970184326
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.326019058449519 | max: 4.02612397202046 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.411270141601562
Estimate `nu`: DONE
`nu` change (abs) | max: 0.158004893526231 | median:  0.0919692884670312 | mean:  0.0919692884670312
`nu` mean: 1.0660356050592
Marginal errors | max: 0.25067700287536 | median 0.206241644985115 | mean: 0.190402167377958
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.766473054885864
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.230397316576369 | max: 3.87365659194104 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.387923955917358
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0532774732102337 | median:  0.0308837890624999 | mean:  0.0308837890624999
`nu` mean: 0.977606315852266
Marginal errors | max: 0.0916920322976189 | median 0.0765360853958175 | mean: 0.0697673030094082
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.783259153366089
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.263457616228195 | max: 3.928924407347 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.367440223693848
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0187878665732679 | median:  0.0109155550210726 | mean:  0.0109155550210726
`nu` mean: 1.0078723115522
Marginal errors | max: 0.0315207323253404 | median 0.0261635598193228 | mean: 0.0239435763640456
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.78396487236023
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.251890641847533 | max: 3.90987172241566 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.360644817352295
Estimate `nu`: DONE
`nu` change (abs) | max: 0.00649137083358098 | median:  0.00376680890457393 | mean:  0.00376680890457393
`nu` mean: 0.997275438070993
Marginal errors | max: 0.0109748802265024 | median 0.00912386940474885 | mean: 0.00834350038184262
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.741404056549072
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.255902752363649 | max: 3.91649655995187 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.373467922210693
Estimate `nu`: DONE
`nu` change (abs) | max: 0.00230094227000666 | median:  0.00132529141000018 | mean:  0.00132529141000018
`nu` mean: 1.00097565086001
Marginal errors | max: 0.00376864912836616 | median 0.00313421412286008 | mean: 0.00286709489297596
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.777005910873413
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.254520292119112 | max: 3.91421850264948 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.386441946029663
Estimate `nu`: DONE
`nu` change (abs) | max: 0.000837013154366462 | median:  0.000488281250000028 | mean:  0.000488281250000028
`nu` mean: 0.999651268095634
Marginal errors | max: 0.00144055320514802 | median 0.00119489364392944 | mean: 0.00109355439757213
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 0.746013164520264
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.255046800817986 | max: 3.91508667609651 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 1 cells batches
Total calculations elapsed time: 0.374150991439819
Estimate `nu`: DONE
`nu` change (abs) | max: 0.000418448154490214 | median:  0.000244140624999917 | mean:  0.000244140624999917
`nu` mean: 1.00017430752949
Marginal errors | max: 0.000715683388516908 | median 0.0005972847342397 | mean: 0.00054589991652314
Total calculations elapsed time: 20.4631719589233
Estimate `dispersion`/`nu`: DONE
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.11549997329712
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000216960906982422
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00049591064453125
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.381065130233765
Total calculations elapsed time: 1.4972779750824
Calculate genes' COEX (legacy): DONE
Calculate cells' COEX (legacy): START
Retrieving expected cells' contingency table
calculating NN.. done
calculating YN..NY..YY..t().. done
Expected cells' contingency table elapsed time: 1.12995100021362
Calculating cells' COEX normalization factor
Calculate cells' normalization factor elapsed time: 0.000252962112426758
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.000560998916625977
Estimating cells' COEX
Calculate cells' COEX elapsed time: 0.402695178985596
Total calculations elapsed time: 1.53346014022827
Calculate cells' COEX (legacy): DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.000706911087036133
Calculate `GDI`: DONE
Total calculations elapsed time: 0.367990970611572
Calculate GDI dataframe: DONE
Calculate genes' partial COEX: START
Retrieving expected genes' partial contingency table
calculating partial NN.. done
calculating partial NY..YN..YY.. done
Calculating genes' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0.325
Retrieving observed genes' yes/yes partial contingency table
calculating partial YY.. done
Estimating genes' partial COEX
Total calculations elapsed time: 3.04667091369629
Calculate genes' partial COEX: DONE
Calculate cells' partial COEX: START
Retrieving expected cells' partial contingency table
calculating partial NN.. done
calculating partial YN..NY..YY.. done
Calculating cells' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0
Retrieving observed cells' yes/yes partial contingency table
calculating partial YY.. done
Estimating cells' partial COEX
Total calculations elapsed time: 3.04611492156982
Calculate cells' partial COEX: DONE
Asked to drop 2 genes and 0 cells
Asked to drop 0 genes and 4 cells
Asked to drop 2 genes and 2 cells
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
calculating YY.. done
calculating YY.. done
calculating YN..NY..NN..t().. done
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.55447697639465
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
calculating NN.. done
calculating NN.. done
calculating NY..YN..YY..t().. done
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.14271402359009
Calculating genes' COEX normalization factor
Fraction of genes' with very low expected contingency tables: 0.181818181818182
Calculate genes' normalization factor elapsed time: 0.000268936157226562
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.000479936599731445
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.372822046279907
Total calculations elapsed time: 1.51628494262695
Calculate genes' COEX (legacy): DONE
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.17383289337158
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00020909309387207
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.000473976135253906
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.413762092590332
Total calculations elapsed time: 1.58827805519104
Calculate genes' COEX (legacy): DONE
Calculate genes' partial COEX: START
Retrieving expected genes' partial contingency table
calculating partial NN.. done
calculating partial NY..YN..YY.. done
Calculating genes' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0.1
Retrieving observed genes' yes/yes partial contingency table
calculating partial YY.. done
Estimating genes' partial COEX
Total calculations elapsed time: 3.09488201141357
Calculate genes' partial COEX: DONE
Calculate genes' partial COEX: START
Retrieving expected genes' partial contingency table
calculating partial NN.. done
calculating partial NY..YN..YY.. done
Calculating genes' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0.4
Retrieving observed genes' yes/yes partial contingency table
calculating partial YY.. done
Estimating genes' partial COEX
Total calculations elapsed time: 3.01704907417297
Calculate genes' partial COEX: DONE
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
calculating YY.. done
calculating YY.. done
calculating NY..YN..NN..t().. done
Estimate `dispersion`/`nu`: START
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.51549482345581
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.379714012145996
Estimate `nu`: DONE
`nu` change (abs) | max: 1.75719246031746 | median:  1.07229953342014 | mean:  1.07229953342014
`nu` mean: 1.68489292689732
Marginal errors | max: 0.255290533439036 | median 0.0807313765005375 | mean: 0.101968565509113
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.56316494941711
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03709166563768 | max: 4.61069655774133 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.399669885635376
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0273438105507502 | median:  0.0148852611818011 | mean:  0.0148852611818011
`nu` mean: 1.69735147626627
Marginal errors | max: 0.00330148418741771 | median 0.00111713187082163 | mean: 0.00132007186542999
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.55181121826172
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03887279473672 | max: 4.60974134092906 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.38107180595398
Estimate `nu`: DONE
`nu` change (abs) | max: 0 | median:  0 | mean:  0
`nu` mean: 1.69735147626627
Marginal errors | max: 5.14174422185931e-05 | median 1.6818224857218e-07 | mean: 5.57649710835051e-06
Total calculations elapsed time: 9.32900404930115
Estimate `dispersion`/`nu`: DONE
calculating NN.. done
calculating NN.. done
calculating YN..NY..YY..t().. done
Calculate cells' COEX (legacy): START
Retrieving expected cells' contingency table
calculating NN.. done
calculating YN..NY..YY..t().. done
Expected cells' contingency table elapsed time: 1.19736886024475
Calculating cells' COEX normalization factor
Fraction of cells' with very low expected contingency tables: 0
Calculate cells' normalization factor elapsed time: 0.000341176986694336
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.000608921051025391
Estimating cells' COEX
Calculate cells' COEX elapsed time: 0.408601999282837
Total calculations elapsed time: 1.60692095756531
Calculate cells' COEX (legacy): DONE
Calculate cells' partial COEX: START
Retrieving expected cells' partial contingency table
calculating partial NN.. done
calculating partial YN..NY..YY.. done
Calculating cells' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0
Retrieving observed cells' yes/yes partial contingency table
calculating partial YY.. done
Estimating cells' partial COEX
Total calculations elapsed time: 3.13653302192688
Calculate cells' partial COEX: DONE
Calculate cells' partial COEX: START
Retrieving expected cells' partial contingency table
calculating partial NN.. done
calculating partial YN..NY..YY.. done
Calculating cells' partial COEX normalization factor
Fraction of genes with very low expected contingency tables: 0
Retrieving observed cells' yes/yes partial contingency table
calculating partial YY.. done
Estimating cells' partial COEX
Total calculations elapsed time: 3.07752299308777
Calculate cells' partial COEX: DONE
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Estimate `dispersion`/`nu`: START
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.55321621894836
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 0.903596292963576 | max: 4.67949426963453 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.3854660987854
Estimate `nu`: DONE
`nu` change (abs) | max: 1.75719246031746 | median:  1.07229953342014 | mean:  1.07229953342014
`nu` mean: 1.68489292689732
Marginal errors | max: 0.255290533439036 | median 0.0807313765005375 | mean: 0.101968565509113
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.52386283874512
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03709166563768 | max: 4.61069655774133 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.394926071166992
Estimate `nu`: DONE
`nu` change (abs) | max: 0.0273438105507502 | median:  0.0148852611818011 | mean:  0.0148852611818011
`nu` mean: 1.69735147626627
Marginal errors | max: 0.00330148418741771 | median 0.00111713187082163 | mean: 0.00132007186542999
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 3 genes batches
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Parallel dispersion Newton-Raphson: used up to 5 iterations
Total calculations elapsed time: 1.50486397743225
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: 1.03887279473672 | max: 4.60974134092906 | % negative: 10
Estimate `nu`: START
Effective number of cores used: 1
Executing 5 cells batches
Total calculations elapsed time: 0.399536848068237
Estimate `nu`: DONE
`nu` change (abs) | max: 0 | median:  0 | mean:  0
`nu` mean: 1.69735147626627
Marginal errors | max: 5.14174422185931e-05 | median 1.6818224857218e-07 | mean: 5.57649710835051e-06
Total calculations elapsed time: 9.26405596733093
Estimate `dispersion`/`nu`: DONE
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.18399381637573
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.000199079513549805
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.000491142272949219
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.369430780410767
Total calculations elapsed time: 1.554114818573
Calculate genes' COEX (legacy): DONE
Calculating S: START
Calculating S: DONE
Calculating G: START
calculating YY.. done
calculating YN..NY..NN..t().. done
calculating NN.. done
calculating NY..YN..YY..t().. done
Estimating G
Total calculations elapsed time: 2.82014918327332
Calculating G: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values genome wide on columns and genome wide on rows
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00156688690185547
calculating PValues: DONE
Using G
Calculating G: START
calculating YY.. done
calculating YN..NY..NN..t().. done
calculating NN.. done
calculating NY..YN..YY..t().. done
Estimating G
Total calculations elapsed time: 2.7286388874054
Calculating G: DONE
calculating PValues: START
Get p-values on a set of genes on columns and on a set of genes on rows
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 2.73238205909729
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.000669956207275391
Calculate `GDI`: DONE
Total calculations elapsed time: 0.381299018859863
Calculate GDI dataframe: DONE
Calculate GDI dataframe: START
Using G
Calculating G: START
calculating YY.. done
calculating YN..NY..NN..t().. done
calculating NN.. done
calculating NY..YN..YY..t().. done
Estimating G
Total calculations elapsed time: 2.74643707275391
Calculating G: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.000914812088012695
Calculate `GDI`: DONE
Total calculations elapsed time: 3.14575815200806
Calculate GDI dataframe: DONE
Calculate `GDI`: START
Calculating S: START
Calculating S: DONE
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00157308578491211
Calculate `GDI`: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.000843048095703125
Calculate `GDI`: DONE
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.366876840591431
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.832207918167114
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.19759106636047
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.53843998908997
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00333094596862793
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0265741348266602
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.376219034194946
Total calculations elapsed time: 1.9445641040802
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.32231187820435
Dataset analysis elapsed time: 3.88677978515625
COTAN dataset analysis: DONE
Initializing `COTAN` meta-data
Condition test
n cells 1000
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.37895393371582
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.864170074462891
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.24143099784851
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.51645517349243
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00336194038391113
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0264499187469482
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.392512083053589
Total calculations elapsed time: 1.93877911567688
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.32220101356506
Dataset analysis elapsed time: 3.94258594512939
COTAN dataset analysis: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and on a set of genes on rows
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00936508178710938
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0149040222167969
Calculate `GDI`: DONE
Total calculations elapsed time: 0.411264896392822
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Condition test
n cells 1000
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.38258695602417
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.814252853393555
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.20640993118286
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.53147411346436
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00332283973693848
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0262010097503662
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.380162000656128
Total calculations elapsed time: 1.94115996360779
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.31852412223816
Dataset analysis elapsed time: 3.90752100944519
COTAN dataset analysis: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values genome wide on columns and on a set of genes on rows
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00600099563598633
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0155420303344727
Calculate `GDI`: DONE
Total calculations elapsed time: 0.394245147705078
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Condition test
n cells 1000
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.365167140960693
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.804759979248047
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.19019484519958
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.55042290687561
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.0039370059967041
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.025792121887207
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.381749868392944
Total calculations elapsed time: 1.96190190315247
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.38696694374084
Dataset analysis elapsed time: 3.94232892990112
COTAN dataset analysis: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and on a set of genes on rows
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00218105316162109
calculating PValues: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0157930850982666
Calculate `GDI`: DONE
Total calculations elapsed time: 0.410558938980103
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Asked to drop 0 genes and 960 cells
COTAN dataset analysis: START
Asked to drop 83 genes and 0 cells
Genes/cells selection done: dropped [83] genes and [0] cells
Working on [517] genes and [40] cells
Dataset cleaning elapsed time: 0.39357590675354
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.757417917251587
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.267567793681876 | max: 101.923257389521 | % negative: 52.6112185686654
Model parameter estimation elapsed time: 1.14732813835144
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.409896850585938
Dataset analysis elapsed time: 1.95080089569092
COTAN dataset analysis: DONE
Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.23768997192383
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00203800201416016
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00481390953063965
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.388657093048096
Total calculations elapsed time: 1.63319897651672
Calculate genes' COEX (legacy): DONE
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.25239706039429
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00229096412658691
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00480794906616211
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.418905019760132
Total calculations elapsed time: 1.67840099334717
Calculate genes' COEX (legacy): DONE
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.21779084205627
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00196313858032227
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00471997261047363
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.412767887115479
Total calculations elapsed time: 1.63724184036255
Calculate genes' COEX (legacy): DONE
Hangling COTAN object with condition: test
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and on a set of genes on rows
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00208806991577148
calculating PValues: DONE
Handling genes type: G2
Handling genes type: G3
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Clean plots: START
PCA: START
PCA: DONE
Hierarchical clustering: START
Hierarchical clustering: DONE
Total calculations elapsed time: 0.882811069488525
Clean plots: DONE
Dataset cleaning elapsed time: 1.81575298309326
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.869440078735352
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.30948305130005
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.64633917808533
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00702881813049316
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0254380702972412
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.410738945007324
Total calculations elapsed time: 2.08954501152039
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.50541806221008
Dataset analysis elapsed time: 5.63065409660339
COTAN dataset analysis: DONE
Saving elaborated data locally at: /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//RtmpOjTfuA/test.cotan.RDS
Creating new clusterization: START
Elaborating Reduced dimensionality Data Matrix - START
Elaborating COEX Eigen Vectors - START
Elaborating COEX Eigen Vectors - DONE
Total calculations elapsed time: 1.29422402381897
Elaborating Reduced dimensionality Data Matrix - DONE
Computing nearest neighbor graph
Computing SNN
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1000
Number of edges: 44886

Running Louvain algorithm with multilevel refinement...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.4008
Number of communities: 4
Elapsed time: 0 seconds
Used resolution for Seurat clusterization is: 1.3
Total calculations elapsed time: 1.68076109886169
Creating new clusterization: DONE
Creating cells' uniform clustering: START
In iteration 1 the number of cells to re-cluster is 1000 cells belonging to 0 clusters
Asked to drop no genes or cells
Creating new clusterization: START
Elaborating Reduced dimensionality Data Matrix - START
Elaborating COEX Eigen Vectors - START
Elaborating COEX Eigen Vectors - DONE
Total calculations elapsed time: 1.34124207496643
Elaborating Reduced dimensionality Data Matrix - DONE
Computing nearest neighbor graph
Computing SNN
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1000
Number of edges: 36652

Running Louvain algorithm with multilevel refinement...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.3743
Number of communities: 4
Elapsed time: 0 seconds
Used resolution for Seurat clusterization is: 1.3
Total calculations elapsed time: 1.70390200614929
Creating new clusterization: DONE
Creating PDF UMAP in file:  /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//RtmpOjTfuA/test/reclustering/pdf_umap_1.pdf
UMAP plot: START
Calculating UMAP: START
19:01:42 UMAP embedding parameters a = 0.9922 b = 1.112
19:01:42 Read 1000 rows and found 65 numeric columns
19:01:42 Using Annoy for neighbor search, n_neighbors = 30
19:01:42 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:01:42 Writing NN index file to temp file /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//RtmpOjTfuA/file11e42274d13cc
19:01:42 Searching Annoy index using 1 thread, search_k = 3000
19:01:42 Annoy recall = 100%
19:01:43 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
19:01:44 Initializing from normalized Laplacian + noise (using RSpectra)
19:01:44 Commencing optimization for 500 epochs, with 39044 positive edges
19:01:44 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:01:45 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 2.77653002738953
UMAP plot: DONE
UMAP plot: START
Calculating UMAP: START
19:01:45 UMAP embedding parameters a = 0.9922 b = 1.112
19:01:45 Read 1000 rows and found 65 numeric columns
19:01:45 Using Annoy for neighbor search, n_neighbors = 30
19:01:45 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:01:45 Writing NN index file to temp file /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//RtmpOjTfuA/file11e4247bf447b
19:01:45 Searching Annoy index using 1 thread, search_k = 3000
19:01:45 Annoy recall = 100%
19:01:46 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
19:01:46 Initializing from normalized Laplacian + noise (using RSpectra)
19:01:46 Commencing optimization for 500 epochs, with 39044 positive edges
19:01:46 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:01:48 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 2.70756077766418
UMAP plot: DONE
* checking uniformity of cluster '0' of 4 clusters
Asked to drop 0 genes and 687 cells
COTAN dataset analysis: START
Asked to drop 43 genes and 0 cells
Genes/cells selection done: dropped [43] genes and [0] cells
Working on [557] genes and [313] cells
Dataset cleaning elapsed time: 0.390970945358276
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 11 iterations
Total calculations elapsed time: 0.790280103683472
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.126565269702225 | max: 788.372048308529 | % negative: 38.5996409335727
Model parameter estimation elapsed time: 1.22108602523804
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.35350704193115
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00321412086486816
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0139849185943604
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.397332906723022
Total calculations elapsed time: 1.7680389881134
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.16370701789856
Dataset analysis elapsed time: 3.77576398849487
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0000' with 313 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.013667106628418
Calculate `GDI`: DONE
Total calculations elapsed time: 0.413380861282349
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.00988483428955078
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0000, with size 313, is uniform
Cluster 01_0000's shift to uniformity: -0.0175178017152766
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.0412926391382406, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.37948219828472, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.0323159784560144, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.43089123341067, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.00179533213644524, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.4438361365159, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 1, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.47612588512221, isUniform = TRUE, clusterSize = 313
cluster 01_0000 is uniform

* checking uniformity of cluster '1' of 4 clusters
Asked to drop 0 genes and 743 cells
COTAN dataset analysis: START
Asked to drop 51 genes and 0 cells
Genes/cells selection done: dropped [51] genes and [0] cells
Working on [549] genes and [257] cells
Dataset cleaning elapsed time: 0.399142026901245
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 10 iterations
Total calculations elapsed time: 0.878227949142456
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.112503099391263 | max: 646.681464270838 | % negative: 40.8014571948998
Model parameter estimation elapsed time: 1.29112982749939
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.31546902656555
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00202679634094238
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0106320381164551
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.390589952468872
Total calculations elapsed time: 1.71871781349182
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.11663007736206
Dataset analysis elapsed time: 3.8069019317627
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0001' with 257 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.012174129486084
Calculate `GDI`: DONE
Total calculations elapsed time: 0.408334016799927
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0108530521392822
Clean plots: DONE
GDI plot
Removed 1 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0001, with size 257, is uniform
Cluster 01_0001's shift to uniformity: -0.0466523594845982
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00910746812386157, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.3503476405154, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00728597449908925, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.37278730407693, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.3866416314687, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.45240567481124, isUniform = TRUE, clusterSize = 257
cluster 01_0001 is uniform

* checking uniformity of cluster '2' of 4 clusters
Asked to drop 0 genes and 758 cells
COTAN dataset analysis: START
Asked to drop 77 genes and 0 cells
Genes/cells selection done: dropped [77] genes and [0] cells
Working on [523] genes and [242] cells
Dataset cleaning elapsed time: 0.410812854766846
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.825237989425659
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.166254045792573 | max: 224.924342782861 | % negative: 42.6386233269598
Model parameter estimation elapsed time: 1.19006299972534
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.28023409843445
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00319480895996094
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0107259750366211
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.421094179153442
Total calculations elapsed time: 1.71524906158447
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.12636113166809
Dataset analysis elapsed time: 3.72723698616028
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0002' with 242 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0122289657592773
Calculate `GDI`: DONE
Total calculations elapsed time: 0.445746898651123
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0102999210357666
Clean plots: DONE
GDI plot
Removed 2 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0002, with size 242, is uniform
Cluster 01_0002's shift to uniformity: -0.0473527936300249
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00764818355640535, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.34964720636998, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00764818355640535, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.37472946305404, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.38771313919655, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.43097703442027, isUniform = TRUE, clusterSize = 242
cluster 01_0002 is uniform

* checking uniformity of cluster '3' of 4 clusters
Asked to drop 0 genes and 812 cells
COTAN dataset analysis: START
Asked to drop 79 genes and 0 cells
Genes/cells selection done: dropped [79] genes and [0] cells
Working on [521] genes and [188] cells
Dataset cleaning elapsed time: 0.380116939544678
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 6 iterations
Total calculations elapsed time: 0.820494890213013
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.210007411487223 | max: 67.8701314818728 | % negative: 45.6813819577735
Model parameter estimation elapsed time: 1.24161601066589
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.24043202400208
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00193691253662109
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00937414169311523
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.386291980743408
Total calculations elapsed time: 1.63803505897522
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.0409369468689
Dataset analysis elapsed time: 3.66266989707947
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0003' with 188 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0119209289550781
Calculate `GDI`: DONE
Total calculations elapsed time: 0.399200916290283
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.00985503196716309
Clean plots: DONE
GDI plot
Removed 4 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0003, with size 188, is uniform
Cluster 01_0003's shift to uniformity: -0.0672912272436468
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00383877159309021, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.32970877275635, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00191938579654511, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.35752445041519, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.37495297633951, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.40148843025229, isUniform = TRUE, clusterSize = 188
cluster 01_0003 is uniform


Found 4 uniform and  0 non-uniform clusters
Stopping: too few cells left to cluster
Unclustered cell left: 0
The final raw clusterization contains [ 4 ] different clusters: 01_0000, 01_0001, 01_0002, 01_0003
Differential Expression Analysis - START
* DEA on cluster '1' with 313 cells
* DEA on cluster '2' with 257 cells
* DEA on cluster '3' with 242 cells
* DEA on cluster '4' with 188 cells

Total calculations elapsed time: 0.0129139423370361
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  3, 2  ->  1, 3  ->  2, 4  ->  4
Total calculations elapsed time: 30.5464041233063
Creating cells' uniform clustering: DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2, 3  ->  3, 4  ->  4
Asked to drop 0 genes and 812 cells
COTAN dataset analysis: START
Asked to drop 79 genes and 0 cells
Genes/cells selection done: dropped [79] genes and [0] cells
Working on [521] genes and [188] cells
Dataset cleaning elapsed time: 0.384645223617554
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 6 iterations
Total calculations elapsed time: 0.837745904922485
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.210007411487223 | max: 67.8701314818728 | % negative: 45.6813819577735
Model parameter estimation elapsed time: 1.23979997634888
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.25551104545593
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00214505195617676
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.00942587852478027
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.417762041091919
Total calculations elapsed time: 1.68484401702881
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.10459685325623
Dataset analysis elapsed time: 3.72904205322266
COTAN dataset analysis: DONE
Checking uniformity for the cluster 'Cluster_4' with 188 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0121011734008789
Calculate `GDI`: DONE
Total calculations elapsed time: 0.43130612373352
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.010051965713501
Clean plots: DONE
GDI plot
Removed 4 low GDI genes (such as the fully-expressed) in GDI plot
Cluster Cluster_4, with size 188, is uniform
Cluster Cluster_4's shift to uniformity: -0.0672912272436468
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00383877159309021, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.32970877275635, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00191938579654511, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.35752445041519, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.37495297633951, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.40148843025229, isUniform = TRUE, clusterSize = 188
Differential Expression Analysis - START
* DEA on cluster '-1' with 50 cells
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 280 cells
* DEA on cluster '4' with 171 cells

Total calculations elapsed time: 0.012728214263916
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  4, 2  ->  3, 3  ->  2, 4  ->  1, -1  ->  -1
Applied reordering to clusterization is:
1  ->  1, 2  ->  2, 3  ->  3, 4  ->  4, -1  ->  -1
Creating cells' uniform clustering: START
In iteration 1 the number of cells to re-cluster is 1000 cells belonging to 0 clusters
Asked to drop no genes or cells
Creating new clusterization: START
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Normalizing layer: counts
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer counts
Calculating gene variances
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Selected 600 genes using HVG_Seurat selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 1.53569984436035
Elaborating Reduced dimensionality Data Matrix - DONE
Computing nearest neighbor graph
Computing SNN
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1000
Number of edges: 67288

Running Louvain algorithm with multilevel refinement...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.3650
Number of communities: 5
Elapsed time: 0 seconds
Used resolution for Seurat clusterization is: 1.3
Total calculations elapsed time: 1.9122359752655
Creating new clusterization: DONE
Using passed in clusterization
Creating PDF UMAP in file:  /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//RtmpOjTfuA/test/reclustering/pdf_umap_1.pdf
UMAP plot: START
Calculating UMAP: START
19:02:19 UMAP embedding parameters a = 0.9922 b = 1.112
19:02:19 Read 1000 rows and found 40 numeric columns
19:02:19 Using Annoy for neighbor search, n_neighbors = 30
19:02:19 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:02:19 Writing NN index file to temp file /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//RtmpOjTfuA/file11e4273f4525d
19:02:19 Searching Annoy index using 1 thread, search_k = 3000
19:02:19 Annoy recall = 100%
19:02:19 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
19:02:20 Found 2 connected components, falling back to 'spca' initialization with init_sdev = 1
19:02:20 Using 'irlba' for PCA
19:02:20 PCA: 2 components explained 36.15% variance
19:02:20 Scaling init to sdev = 1
19:02:20 Commencing optimization for 500 epochs, with 41630 positive edges
19:02:20 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:02:21 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 2.7055811882019
UMAP plot: DONE
UMAP plot: START
Calculating UMAP: START
19:02:21 UMAP embedding parameters a = 0.9922 b = 1.112
19:02:21 Read 1000 rows and found 40 numeric columns
19:02:21 Using Annoy for neighbor search, n_neighbors = 30
19:02:21 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:02:21 Writing NN index file to temp file /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//RtmpOjTfuA/file11e423ca937b7
19:02:21 Searching Annoy index using 1 thread, search_k = 3000
19:02:21 Annoy recall = 100%
19:02:22 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
19:02:23 Found 2 connected components, falling back to 'spca' initialization with init_sdev = 1
19:02:23 Using 'irlba' for PCA
19:02:23 PCA: 2 components explained 36.15% variance
19:02:23 Scaling init to sdev = 1
19:02:23 Commencing optimization for 500 epochs, with 41630 positive edges
19:02:23 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:02:24 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 2.82159090042114
UMAP plot: DONE
* checking uniformity of cluster '1' of 2 clusters
Asked to drop 0 genes and 500 cells
COTAN dataset analysis: START
Asked to drop 38 genes and 0 cells
Genes/cells selection done: dropped [38] genes and [0] cells
Working on [562] genes and [500] cells
Dataset cleaning elapsed time: 0.414382934570312
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.845475912094116
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.108871643378045 | max: 295.971778839086 | % negative: 35.0533807829181
Model parameter estimation elapsed time: 1.26273488998413
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.42870497703552
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00212979316711426
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0148551464080811
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.407531976699829
Total calculations elapsed time: 1.85322189331055
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.28365111351013
Dataset analysis elapsed time: 3.96076893806458
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0001' with 500 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0141620635986328
Calculate `GDI`: DONE
Total calculations elapsed time: 0.393563985824585
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0106031894683838
Clean plots: DONE
GDI plot
Removed 2 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0001, with size 500, is uniform
Cluster 01_0001's shift to uniformity: -0.0417301990665557
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.0124555160142349, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.35526980093344, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00889679715302491, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.38536328181507, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.40346106115487, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.42565794715046, isUniform = TRUE, clusterSize = 500
cluster 01_0001 is uniform

* checking uniformity of cluster '2' of 2 clusters
Asked to drop 0 genes and 500 cells
COTAN dataset analysis: START
Asked to drop 44 genes and 0 cells
Genes/cells selection done: dropped [44] genes and [0] cells
Working on [556] genes and [500] cells
Dataset cleaning elapsed time: 0.404936790466309
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.831051826477051
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0636486786621688 | max: 141.389145035675 | % negative: 36.1510791366906
Model parameter estimation elapsed time: 1.24894213676453
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.42001605033875
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00392794609069824
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0169470310211182
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.411999940872192
Total calculations elapsed time: 1.85289096832275
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.26560497283936
Dataset analysis elapsed time: 3.91948390007019
COTAN dataset analysis: DONE
Checking uniformity for the cluster '01_0002' with 500 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0139341354370117
Calculate `GDI`: DONE
Total calculations elapsed time: 0.424354076385498
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.010645866394043
Clean plots: DONE
GDI plot
Removed 2 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 01_0002, with size 500, is uniform
Cluster 01_0002's shift to uniformity: -0.0413872276843466
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.00719424460431655, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.35561277231565, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.00359712230215827, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.37204026755188, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.38757136821582, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 0, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.40876953414107, isUniform = TRUE, clusterSize = 500
cluster 01_0002 is uniform


Found 2 uniform and  0 non-uniform clusters
Stopping: too few cells left to cluster
Unclustered cell left: 0
The final raw clusterization contains [ 2 ] different clusters: 01_0001, 01_0002
Differential Expression Analysis - START
* DEA on cluster '1' with 500 cells
* DEA on cluster '2' with 500 cells

Total calculations elapsed time: 0.0109009742736816
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2
Total calculations elapsed time: 19.7116250991821
Creating cells' uniform clustering: DONE
findClustersMarkers - START
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'

Total calculations elapsed time: 1.5921630859375
Log Fold Change Analysis - DONE
Total calculations elapsed time: 1.59596109390259
findClustersMarkers - DONE
findClustersMarkers - START
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'

Total calculations elapsed time: 1.60718011856079
Log Fold Change Analysis - DONE
Total calculations elapsed time: 1.61058497428894
findClustersMarkers - DONE
findClustersMarkers - START
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells

Total calculations elapsed time: 0.0101020336151123
Differential Expression Analysis - DONE
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'

Total calculations elapsed time: 1.5614640712738
Log Fold Change Analysis - DONE
Total calculations elapsed time: 1.57452201843262
findClustersMarkers - DONE
Tested cluster: 1Asked to drop 0 genes and 743 cells
COTAN dataset analysis: START
Asked to drop 51 genes and 0 cells
Genes/cells selection done: dropped [51] genes and [0] cells
Working on [549] genes and [257] cells
Dataset cleaning elapsed time: 0.405158996582031
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 10 iterations
Total calculations elapsed time: 0.838545083999634
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.112503099391263 | max: 646.681464270838 | % negative: 40.8014571948998
Model parameter estimation elapsed time: 1.24125003814697
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.27995896339417
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00197601318359375
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0108838081359863
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.410620212554932
Total calculations elapsed time: 1.70343899726868
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.13053202629089
Dataset analysis elapsed time: 3.7769410610199
COTAN dataset analysis: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0132238864898682
Calculate `GDI`: DONE
Total calculations elapsed time: 0.426488161087036
Calculate GDI dataframe: DONE
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [10] genes and [20] cells
Initializing `COTAN` meta-data
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.869162082672119
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.440180063247681
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.866115808486938
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.2635989189148
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.409667015075684
Dataset analysis elapsed time: 2.11344599723816
COTAN dataset analysis: DONE
Normalizing layer: counts
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Finding variable features for layer counts
Calculating gene variances
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Centering and scaling data matrix

  |                                                                            
  |                                                                      |   0%
  |                                                                            
  |======================================================================| 100%
PC_ 1 
Positive:  g-000397, g-000525, g-000460, g-000458, g-000535, g-000217, g-000194, g-000497, g-000432, g-000383 
	   g-000318, g-000486, g-000464, g-000588, g-000549, g-000368, g-000252, g-000151, g-000209, g-000538 
	   g-000325, g-000514, g-000524, g-000244, g-000320, g-000201, g-000499, g-000309, g-000290, g-000483 
Negative:  g-000415, g-000506, g-000496, g-000579, g-000572, g-000421, g-000455, g-000328, g-000178, g-000567 
	   g-000405, g-000296, g-000387, g-000501, g-000493, g-000481, g-000343, g-000528, g-000551, g-000414 
	   g-000367, g-000594, g-000159, g-000517, g-000574, g-000229, g-000222, g-000533, g-000243, g-000306 
PC_ 2 
Positive:  g-000141, g-000093, g-000089, g-000033, g-000123, g-000557, g-000330, g-000156, g-000142, g-000095 
	   g-000061, g-000235, g-000032, g-000186, g-000056, g-000259, g-000027, g-000041, g-000333, g-000386 
	   g-000009, g-000395, g-000048, g-000116, g-000340, g-000418, g-000035, g-000332, g-000086, g-000040 
Negative:  g-000088, g-000158, g-000255, g-000115, g-000054, g-000472, g-000554, g-000391, g-000253, g-000226 
	   g-000051, g-000147, g-000541, g-000077, g-000224, g-000194, g-000290, g-000293, g-000313, g-000118 
	   g-000121, g-000220, g-000467, g-000500, g-000341, g-000039, g-000091, g-000249, g-000426, g-000288 
PC_ 3 
Positive:  g-000096, g-000575, g-000370, g-000337, g-000319, g-000364, g-000308, g-000293, g-000147, g-000307 
	   g-000038, g-000492, g-000541, g-000185, g-000008, g-000482, g-000562, g-000097, g-000222, g-000084 
	   g-000141, g-000377, g-000224, g-000223, g-000136, g-000434, g-000277, g-000426, g-000139, g-000093 
Negative:  g-000126, g-000083, g-000086, g-000117, g-000130, g-000010, g-000498, g-000333, g-000047, g-000179 
	   g-000340, g-000035, g-000531, g-000140, g-000527, g-000049, g-000316, g-000031, g-000014, g-000073 
	   g-000218, g-000445, g-000129, g-000175, g-000105, g-000581, g-000404, g-000025, g-000266, g-000354 
PC_ 4 
Positive:  g-000006, g-000043, g-000462, g-000279, g-000180, g-000576, g-000087, g-000584, g-000498, g-000333 
	   g-000189, g-000088, g-000451, g-000059, g-000135, g-000281, g-000106, g-000429, g-000316, g-000578 
	   g-000303, g-000031, g-000581, g-000026, g-000122, g-000561, g-000546, g-000164, g-000353, g-000300 
Negative:  g-000072, g-000012, g-000129, g-000052, g-000097, g-000262, g-000080, g-000056, g-000025, g-000092 
	   g-000354, g-000334, g-000423, g-000228, g-000002, g-000010, g-000086, g-000147, g-000185, g-000172 
	   g-000124, g-000009, g-000077, g-000476, g-000126, g-000145, g-000065, g-000268, g-000152, g-000348 
PC_ 5 
Positive:  g-000105, g-000037, g-000110, g-000054, g-000090, g-000389, g-000022, g-000578, g-000289, g-000147 
	   g-000547, g-000011, g-000477, g-000433, g-000200, g-000348, g-000404, g-000003, g-000250, g-000109 
	   g-000402, g-000241, g-000595, g-000341, g-000560, g-000385, g-000413, g-000352, g-000573, g-000265 
Negative:  g-000051, g-000150, g-000088, g-000476, g-000344, g-000116, g-000428, g-000012, g-000523, g-000394 
	   g-000101, g-000127, g-000069, g-000214, g-000049, g-000357, g-000075, g-000081, g-000576, g-000342 
	   g-000439, g-000018, g-000070, g-000079, g-000015, g-000550, g-000600, g-000247, g-000218, g-000331 
Computing nearest neighbor graph
Computing SNN
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 1000
Number of edges: 68208

Running Louvain algorithm with multilevel refinement...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.6000
Number of communities: 3
Elapsed time: 0 seconds
Clusterizations found: RNA_snn_res.0.8, seurat_clusters
Conditions found: orig.ident
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.430334806442261
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.882290124893188
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.29760718345642
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.412432909011841
Dataset analysis elapsed time: 2.14037489891052
COTAN dataset analysis: DONE
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.43038010597229
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.876015901565552
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.29753303527832
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.67445802688599
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00394701957702637
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0263819694519043
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.420130014419556
Total calculations elapsed time: 2.12491703033447
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.54969882965088
Dataset analysis elapsed time: 4.27761197090149
COTAN dataset analysis: DONE
Calculating gene co-expression space - START
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and genome wide on rows
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00242090225219727
calculating PValues: DONE
Number of selected secondary markers: 6
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.000840902328491211
Calculate `GDI`: DONE
Number of columns (V set - secondary markers): 6
Number of rows (U set): 60
Total calculations elapsed time: 0.400391101837158
Calculating gene co-expression space - DONE
Calculating gene co-expression space - START
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and genome wide on rows
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00277614593505859
calculating PValues: DONE
Number of selected secondary markers: 98
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00544595718383789
Calculate `GDI`: DONE
Number of columns (V set - secondary markers): 98
Number of rows (U set): 60
Total calculations elapsed time: 0.445088863372803
Calculating gene co-expression space - DONE
Establishing gene clusters - START
Calculating gene co-expression space - START
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and genome wide on rows
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00256991386413574
calculating PValues: DONE
Number of selected secondary markers: 98
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00307488441467285
Calculate `GDI`: DONE
Number of columns (V set - secondary markers): 98
Number of rows (U set): 60
Total calculations elapsed time: 0.438446044921875
Calculating gene co-expression space - DONE
Total calculations elapsed time: 0.463124990463257
Establishing gene clusters - DONE
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.418092012405396
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.85793399810791
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.27681589126587
COTAN genes' COEX estimation not requested
Only genes' COEX elapsed time: 0.428538084030151
Dataset analysis elapsed time: 2.12344598770142
COTAN dataset analysis: DONE
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells

Total calculations elapsed time: 0.0106050968170166
Differential Expression Analysis - DONE
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'
* Analysis of cluster: '3'
* Analysis of cluster: '4'

Total calculations elapsed time: 1.67508482933044
Log Fold Change Analysis - DONE
clustersDeltaExpression - START
Handling cluster '1' with mean UDE 1.10997640736885
Handling cluster '2' with mean UDE 1.00770245700749
Handling cluster '3' with mean UDE 0.95940682189354
Handling cluster '4' with mean UDE 0.907328369455933
clustersDeltaExpression - DONE
In group G1 there are 3 detected over 3 genes
In group G2 there are 2 detected over 3 genes
In group G3 there are 5 detected over 5 genes
Merging cells' uniform clustering: START
The merge algorithm will use 2 passes
Start merging nearest clusters - the main threshold is: 1.297
Start merging nearest clusters: iteration 1
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells

Total calculations elapsed time: 0.0106868743896484
Differential Expression Analysis - DONE
Updating check results for the 0 already tested pairs to align to new checker
1 new clusters pairs to be tested for merging:
c("1", "2")
*1_2-merge
Asked to drop 0 genes and 501 cells
COTAN dataset analysis: START
Asked to drop 16 genes and 0 cells
Genes/cells selection done: dropped [16] genes and [0] cells
Working on [584] genes and [499] cells
Dataset cleaning elapsed time: 0.409927845001221
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 10 iterations
Total calculations elapsed time: 0.840687036514282
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0608154544840047 | max: 1260.06995351592 | % negative: 35.6164383561644
Model parameter estimation elapsed time: 1.25177407264709
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.51736283302307
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00409913063049316
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0172019004821777
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.425481081008911
Total calculations elapsed time: 1.96414494514465
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.3860969543457
Dataset analysis elapsed time: 4.04779887199402
COTAN dataset analysis: DONE
Checking uniformity for the cluster '1_2-merge' with 499 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0156769752502441
Calculate `GDI`: DONE
Total calculations elapsed time: 0.43456506729126
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.00989699363708496
Clean plots: DONE
GDI plot
Removed 1 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 1_2-merge, with size 499, is not uniform
Cluster 1_2-merge's shift to uniformity: 0.0566581136434186
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.297, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.178082191780822, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.35365811364342, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.307, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.148972602739726, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.37149326865972, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.4, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.00513698630136986, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.38256306292778, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.4, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 3, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.42111642638126, isUniform = FALSE, clusterSize = 499
Clusters 1 and 2 cannot be merged
Finished the first batch - no merges were executed
Loop calculations elapsed time: 6.39219999313354
Start merging nearest clusters: iteration 2
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells

Total calculations elapsed time: 0.011829137802124
Differential Expression Analysis - DONE
Updating check results for the 1 already tested pairs to align to new checker
1 new clusters pairs to be tested for merging:
c("3", "4")
*3_4-merge
Asked to drop 0 genes and 499 cells
COTAN dataset analysis: START
Asked to drop 37 genes and 0 cells
Genes/cells selection done: dropped [37] genes and [0] cells
Working on [563] genes and [501] cells
Dataset cleaning elapsed time: 0.425228834152222
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 11 iterations
Total calculations elapsed time: 0.842849016189575
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.107568326617881 | max: 698.639334552755 | % negative: 32.1492007104796
Model parameter estimation elapsed time: 1.26327919960022
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.4261372089386
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.0028688907623291
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.016603946685791
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.40958309173584
Total calculations elapsed time: 1.85519313812256
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.28260588645935
Dataset analysis elapsed time: 3.97111392021179
COTAN dataset analysis: DONE
Checking uniformity for the cluster '3_4-merge' with 501 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0140020847320557
Calculate `GDI`: DONE
Total calculations elapsed time: 0.413883924484253
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0102469921112061
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 3_4-merge, with size 501, is not uniform
Cluster 3_4-merge's shift to uniformity: 0.0813107504724644
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.297, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.259325044404973, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 1.37831075047246, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.307, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.216696269982238, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 1.41473792188165, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.4, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.0301953818827709, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 1.43341610223173, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.4, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 17, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 1.4617394878777, isUniform = FALSE, clusterSize = 501
Clusters 3 and 4 cannot be merged
No clusters will be merged
None of the remaining tested cluster pairs could be merged
Executed all merges for threshold 1.297 out of 2 checks
Start merging nearest clusters - the main threshold is: 1.397
Start merging nearest clusters: iteration 3
Differential Expression Analysis - START
* DEA on cluster '1' with 257 cells
* DEA on cluster '2' with 242 cells
* DEA on cluster '3' with 313 cells
* DEA on cluster '4' with 188 cells

Total calculations elapsed time: 0.0114409923553467
Differential Expression Analysis - DONE
Updating check results for the 2 already tested pairs to align to new checker
1 new clusters pairs to be tested for merging:
c("2", "4")
*2_4-merge
Asked to drop 0 genes and 570 cells
COTAN dataset analysis: START
Asked to drop 9 genes and 0 cells
Genes/cells selection done: dropped [9] genes and [0] cells
Working on [591] genes and [430] cells
Dataset cleaning elapsed time: 0.424494028091431
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.844804048538208
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0739592351622374 | max: 400.051960722886 | % negative: 25.7191201353638
Model parameter estimation elapsed time: 1.27405405044556
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.41387701034546
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00372099876403809
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0174009799957275
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.43626594543457
Total calculations elapsed time: 1.8712649345398
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.31972312927246
Dataset analysis elapsed time: 4.01827120780945
COTAN dataset analysis: DONE
Checking uniformity for the cluster '2_4-merge' with 430 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0156948566436768
Calculate `GDI`: DONE
Total calculations elapsed time: 0.484388113021851
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0103051662445068
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 2_4-merge, with size 430, is not uniform
Cluster 2_4-merge's shift to uniformity: 3.07228472969514
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.583756345177665, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 3.7954982715656, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.576988155668359, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 4.08354952912925, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.524534686971235, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 4.42722016730736, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 310, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 4.57228472969514, isUniform = FALSE, clusterSize = 430
Clusters 2 and 4 cannot be merged
Clusters 1 and 2 will be merged
Clusters 4 and 3 will be merged
Executed 2 merges
Loop calculations elapsed time: 6.60500693321228
Start merging nearest clusters: iteration 4
Differential Expression Analysis - START
* DEA on cluster '1_2-merge' with 499 cells
* DEA on cluster '3_4-merge' with 501 cells

Total calculations elapsed time: 0.0105588436126709
Differential Expression Analysis - DONE
Updating check results for the 3 already tested pairs to align to new checker
1 new clusters pairs to be tested for merging:
c("1_2-merge", "3_4-merge")
*1_2-merge_3_4-merge-merge
Asked to drop no genes or cells
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.439043998718262
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.923249006271362
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.39589810371399
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.74571394920349
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00330901145935059
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0262830257415771
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.45748496055603
Total calculations elapsed time: 2.23279094696045
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.66462302207947
Dataset analysis elapsed time: 4.49956512451172
COTAN dataset analysis: DONE
Checking uniformity for the cluster '1_2-merge_3_4-merge-merge' with 1000 cells
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0158951282501221
Calculate `GDI`: DONE
Total calculations elapsed time: 0.463631868362427
Calculate GDI dataframe: DONE
Clean plots: START
Total calculations elapsed time: 0.0115211009979248
Clean plots: DONE
GDI plot
Removed 0 low GDI genes (such as the fully-expressed) in GDI plot
Cluster 1_2-merge_3_4-merge-merge, with size 1000, is not uniform
Cluster 1_2-merge_3_4-merge-merge's shift to uniformity: 3.86988385120409
class = AdvancedGDIUniformityCheck, firstCheck.isCheckAbove = FALSE, firstCheck.GDIThreshold = 1.397, firstCheck.maxRatioBeyond = 0.05, firstCheck.maxRankBeyond = 0, firstCheck.fractionBeyond = 0.69, firstCheck.thresholdRank = 0, firstCheck.quantileAtRatio = 4.54596809454193, firstCheck.quantileAtRank = NaN, secondCheck.isCheckAbove = TRUE, secondCheck.GDIThreshold = 1.407, secondCheck.maxRatioBeyond = 0.02, secondCheck.maxRankBeyond = 0, secondCheck.fractionBeyond = 0.678333333333333, secondCheck.thresholdRank = 0, secondCheck.quantileAtRatio = 4.93144728766684, secondCheck.quantileAtRank = NaN, thirdCheck.isCheckAbove = FALSE, thirdCheck.GDIThreshold = 1.5, thirdCheck.maxRatioBeyond = 0.01, thirdCheck.maxRankBeyond = 0, thirdCheck.fractionBeyond = 0.593333333333333, thirdCheck.thresholdRank = 0, thirdCheck.quantileAtRatio = 5.2532296852478, thirdCheck.quantileAtRank = NaN, fourthCheck.isCheckAbove = FALSE, fourthCheck.GDIThreshold = 1.5, fourthCheck.maxRatioBeyond = NaN, fourthCheck.maxRankBeyond = 2, fourthCheck.fractionBeyond = NaN, fourthCheck.thresholdRank = 356, fourthCheck.quantileAtRatio = NaN, fourthCheck.quantileAtRank = 5.36988385120409, isUniform = FALSE, clusterSize = 1000
Clusters 1_2-merge and 3_4-merge cannot be merged
No clusters will be merged
None of the remaining tested cluster pairs could be merged
Executed all merges for threshold 1.397 out of 4 checks
The final merged clusterization contains [2] different clusters: 1_2-merge, 3_4-merge
Differential Expression Analysis - START
* DEA on cluster '1' with 499 cells
* DEA on cluster '2' with 501 cells

Total calculations elapsed time: 0.0105950832366943
Differential Expression Analysis - DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2
Total calculations elapsed time: 26.4340019226074
Merging cells' uniform clustering: DONE
Applied reordering to clusterization is:
1  ->  1, 2  ->  2
Log Fold Change Analysis - START
* Analysis of cluster: '1'
* Analysis of cluster: '2'

Total calculations elapsed time: 0.90746283531189
Log Fold Change Analysis - DONE
Tested cluster: 1Asked to drop 0 genes and 501 cells
COTAN dataset analysis: START
Asked to drop 16 genes and 0 cells
Genes/cells selection done: dropped [16] genes and [0] cells
Working on [584] genes and [499] cells
Dataset cleaning elapsed time: 0.435135126113892
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 10 iterations
Total calculations elapsed time: 0.877191066741943
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0608154544840047 | max: 1260.06995351592 | % negative: 35.6164383561644
Model parameter estimation elapsed time: 1.28913187980652
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.42584204673767
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.0024878978729248
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0162339210510254
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.42595100402832
Total calculations elapsed time: 1.87051486968994
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.27803802490234
Dataset analysis elapsed time: 4.00230503082275
COTAN dataset analysis: DONE
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0152161121368408
Calculate `GDI`: DONE
Total calculations elapsed time: 0.469007968902588
Calculate GDI dataframe: DONE
Initializing `COTAN` meta-data
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Clean plots: START
PCA: START
PCA: DONE
Hierarchical clustering: START
Hierarchical clustering: DONE
Total calculations elapsed time: 0.924001216888428
Clean plots: DONE
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.427795886993408
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.870386838912964
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.32300400733948
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.72445797920227
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.00362014770507812
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0272798538208008
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.423411130905151
Total calculations elapsed time: 2.1787691116333
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.60260510444641
Dataset analysis elapsed time: 4.3534049987793
COTAN dataset analysis: DONE
Heatmap plot: START
Hangling COTAN object with condition: test
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values on a set of genes on columns and on a set of genes on rows
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.00202488899230957
calculating PValues: DONE
Handling genes type: G1
Handling genes type: G2
Handling genes type: G3
min COEX: -0.14844485428853 max COEX: 0.138918385916637
Total calculations elapsed time: 0.0245959758758545
Heatmap plot: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values genome wide on columns and genome wide on rows
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0486609935760498
calculating PValues: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values genome wide on columns and genome wide on rows
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0467369556427002
calculating PValues: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values genome wide on columns and genome wide on rows
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.047199010848999
calculating PValues: DONE
Using S
Calculating S: START
Calculating S: DONE
calculating PValues: START
Get p-values genome wide on columns and genome wide on rows
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.056300163269043
calculating PValues: DONE
Calculate cells' COEX (legacy): START
Retrieving expected cells' contingency table
calculating NN.. done
calculating YN..NY..YY..t().. done
Expected cells' contingency table elapsed time: 1.97436785697937
Calculating cells' COEX normalization factor
Calculate cells' normalization factor elapsed time: 0.0070950984954834
Retrieving observed cells' yes/yes contingency table
calculating YY.. done
Observed cells' contingency table elapsed time: 0.0678510665893555
Estimating cells' COEX
Calculate cells' COEX elapsed time: 0.42349100112915
Total calculations elapsed time: 2.47280502319336
Calculate cells' COEX (legacy): DONE
Initializing `COTAN` meta-data
COTAN dataset analysis: START
Genes/cells selection done: dropped [0] genes and [0] cells
Working on [600] genes and [1000] cells
Dataset cleaning elapsed time: 0.440821170806885
Estimate `dispersion`: START
Effective number of cores used: 1
Executing 1 genes batches
Parallel dispersion Newton-Raphson: used up to 7 iterations
Total calculations elapsed time: 0.928844928741455
Estimate `dispersion`: DONE
Estimate `dispersion`: DONE
`dispersion` | min: -0.0529252975916524 | max: 462.908586418992 | % negative: 17.3333333333333
Model parameter estimation elapsed time: 1.33991479873657
COTAN genes' COEX estimation: START
While trying to load the `torch` library Error in doTryCatch(return(expr), name, parentenv, handler): The `torch` library is installed but the required additional libraries are not available yet

Calculate genes' COEX (legacy): START
Retrieving expected genes' contingency table
calculating NN.. done
calculating NY..YN..YY..t().. done
Expected genes' contingency table elapsed time: 1.70005083084106
Calculating genes' COEX normalization factor
Calculate genes' normalization factor elapsed time: 0.0025629997253418
Retrieving observed genes' yes/yes contingency table
calculating YY.. done
Observed genes' contingency table elapsed time: 0.0256979465484619
Estimating genes' COEX
Calculate genes' COEX elapsed time: 0.444799184799194
Total calculations elapsed time: 2.17311096191406
Calculate genes' COEX (legacy): DONE
Only genes' COEX elapsed time: 2.61955308914185
Dataset analysis elapsed time: 4.4002890586853
COTAN dataset analysis: DONE
Differential Expression Analysis - START
* DEA on cluster 'H' with 500 cells
* DEA on cluster 'L' with 500 cells

Total calculations elapsed time: 0.0153980255126953
Differential Expression Analysis - DONE
Differential Expression Analysis - START
* DEA on cluster 'H' with 500 cells
* DEA on cluster 'L' with 500 cells

Total calculations elapsed time: 0.0103590488433838
Differential Expression Analysis - DONE
Differential Expression Analysis - START
* DEA on cluster 'H' with 500 cells
* DEA on cluster 'L' with 500 cells

Total calculations elapsed time: 0.0101380348205566
Differential Expression Analysis - DONE
Differential Expression Analysis - START
* DEA on cluster 'H' with 500 cells
* DEA on cluster 'L' with 500 cells

Total calculations elapsed time: 0.0102088451385498
Differential Expression Analysis - DONE
Elaborating Reduced dimensionality Data Matrix - START
Elaborating COEX Eigen Vectors - START
Elaborating COEX Eigen Vectors - DONE
Total calculations elapsed time: 1.41957211494446
Elaborating Reduced dimensionality Data Matrix - DONE
UMAP plot: START
Calculating UMAP: START
19:03:53 UMAP embedding parameters a = 0.9922 b = 1.112
19:03:53 Read 1000 rows and found 5 numeric columns
19:03:53 Using Annoy for neighbor search, n_neighbors = 30
19:03:53 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:03:54 Writing NN index file to temp file /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//RtmpOjTfuA/file11e4235ec5ce
19:03:54 Searching Annoy index using 1 thread, search_k = 3000
19:03:54 Annoy recall = 100%
19:03:54 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
19:03:55 Initializing from normalized Laplacian + noise (using RSpectra)
19:03:55 Commencing optimization for 500 epochs, with 37354 positive edges
19:03:55 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:03:56 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 2.89352297782898
UMAP plot: DONE
Elaborating Reduced dimensionality Data Matrix - START
Running genes' selection: START
Calculate GDI dataframe: START
Using S
Calculating S: START
Calculating S: DONE
Calculate `GDI`: START
Effective number of cores used: 1
Executing 1 genes batches
Total calculations elapsed time: 0.0150411128997803
Calculate `GDI`: DONE
Total calculations elapsed time: 0.475162982940674
Calculate GDI dataframe: DONE
Selected 100 genes using HGDI selector
Running genes' selection: DONE
Elaborating PCA - START
Elaborating PCA - DONE
Total calculations elapsed time: 1.37871098518372
Elaborating Reduced dimensionality Data Matrix - DONE
UMAP plot: START
Calculating UMAP: START
19:03:58 UMAP embedding parameters a = 0.9922 b = 1.112
19:03:58 Read 1000 rows and found 5 numeric columns
19:03:58 Using Annoy for neighbor search, n_neighbors = 30
19:03:58 Building Annoy index with metric = cosine, n_trees = 50
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:03:58 Writing NN index file to temp file /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//RtmpOjTfuA/file11e4220cde69
19:03:58 Searching Annoy index using 1 thread, search_k = 3000
19:03:58 Annoy recall = 100%
19:03:58 Commencing smooth kNN distance calibration using 1 thread with target n_neighbors = 30
19:03:59 Found 2 connected components, falling back to 'spca' initialization with init_sdev = 1
19:03:59 Using 'irlba' for PCA
19:03:59 PCA: 2 components explained 86.78% variance
19:03:59 Scaling init to sdev = 1
19:03:59 Commencing optimization for 500 epochs, with 36742 positive edges
19:03:59 Using rng type: pcg
Using method 'umap'
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
19:04:01 Optimization finished
Calculating UMAP: DONE
Total calculations elapsed time: 2.88599991798401
UMAP plot: DONE
Dispersion bisection: straddling used 2 iterations
Dispersion bisection: used 8 iterations
Dispersion bisection: straddling used 1 iterations
Dispersion bisection: used 9 iterations
Dispersion Newton-Raphson: used up to 4 iterations
Dispersion Newton-Raphson: used up to 4 iterations
parallel dispersion bisection: straddling used up to 2 iterations
Parallel dispersion bisection: used up to 9 iterations
Parallel dispersion Newton-Raphson: used up to 4 iterations
[ FAIL 0 | WARN 3 | SKIP 0 | PASS 632 ]

[ FAIL 0 | WARN 3 | SKIP 0 | PASS 632 ]
> 
> proc.time()
   user  system elapsed 
308.461   1.337 311.372

Example timings

COTAN.Rcheck/COTAN-Ex.timings

name	user	system	elapsed
COTAN_Legacy	0.000	0.000	0.001
COTAN_ObjectCreation	4.073	0.035	4.113
CalculatingCOEX	21.916	0.027	21.979
ClustersList	0.003	0.000	0.003
Conversions	2.051	0.005	2.068
GenesStatistics	4.839	0.012	4.853
HandleMetaData	0.010	0.001	0.011
HandlingClusterizations	17.855	0.066	17.948
HandlingConditions	0.011	0.002	0.012
HeatmapPlots	13.389	0.045	13.470
Installing_torch	0	0	0
LoggingFunctions	0.001	0.001	0.002
ParametersEstimations	9.038	0.013	9.068
RawDataCleaning	1.878	0.027	1.896
RawDataGetters	0.011	0.000	0.011
UniformClusters	26.117	0.106	26.219
getColorsVector	0	0	0