Bioconductor 3.22 Released

proBatch

This package is for version 3.23 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see proBatch.

Tools for Diagnostics and Corrections of Batch Effects in Proteomics


Bioconductor version: Development (3.23)

These tools facilitate batch effects analysis and correction in high-throughput experiments. It was developed primarily for mass-spectrometry proteomics (DIA/SWATH), but could also be applicable to most omic data with minor adaptations. The package contains functions for diagnostics (proteome/genome-wide and feature-level), correction (normalization and batch effects correction) and quality control. Non-linear fitting based approaches were also included to deal with complex, mass spectrometry-specific signal drifts.

Author: Jelena Cuklina [aut], Chloe H. Lee [aut], Patrick Pedrioli [aut], Olga Zolotareva [aut], Yuliya Burankova [cre]

Maintainer: Yuliya Burankova <yuliya.burankova at uni-hamburg.de>

Citation (from within R, enter citation("proBatch")):

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("proBatch")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews BatchEffect, MassSpectrometry, Normalization, Preprocessing, Proteomics, QualityControl, Software, Visualization
Version 1.99.4
In Bioconductor since BioC 3.9 (R-3.6) (7 years)
License GPL-3
Depends R (>= 4.4.0)
Imports Biobase, QFeatures, SummarizedExperiment, S4Vectors, corrplot, dplyr, data.table, ggfortify, ggplot2, gridExtra, grDevices, lazyeval, lubridate, limma, magrittr, matrixStats, methods, pheatmap, preprocessCore, purrr, pvca, RColorBrewer, reshape2, rlang, scales, stats, sva, tidyr, tibble, tools, utils, viridis, wesanderson, WGCNA
System Requirements
URL https://github.com/Freddsle/proBatch
Bug Reports https://github.com/Freddsle/proBatch/issues
See More
Suggests cowplot, ggplotify, knitr, rmarkdown, devtools, gtable, roxygen2, testthat (>= 3.0.0), spelling, HDF5Array
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64) proBatch_1.99.4.zip
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/proBatch
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/proBatch
Package Short Url https://bioconductor.org/packages/proBatch/
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