fgsea
This package is for version 3.6 of Bioconductor; for the stable, up-to-date release version, see fgsea.
Fast Gene Set Enrichment Analysis
Bioconductor version: 3.6
The package implements an algorithm for fast gene set enrichment analysis. Using the fast algorithm allows to make more permutations and get more fine grained p-values, which allows to use accurate stantard approaches to multiple hypothesis correction.
Author: Alexey Sergushichev [aut, cre]
Maintainer: Alexey Sergushichev <alsergbox at gmail.com>
Citation (from within R, enter
citation("fgsea")
):
Installation
To install this package, start R (version "3.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("fgsea")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual | |
NEWS | Text |
Details
biocViews | DifferentialExpression, GeneExpression, GeneSetEnrichment, Pathways, Software |
Version | 1.4.1 |
In Bioconductor since | BioC 3.4 (R-3.3) (7.5 years) |
License | MIT + file LICENCE |
Depends | R (>= 3.3), Rcpp |
Imports | data.table, BiocParallel, stats, ggplot2 (>= 2.2.0), gridExtra, grid, fastmatch |
System Requirements | C++11 |
URL | https://github.com/ctlab/fgsea/ |
Bug Reports | https://github.com/ctlab/fgsea/issues |
See More
Suggests | testthat, knitr, rmarkdown, reactome.db, AnnotationDbi, parallel |
Linking To | Rcpp |
Enhances | |
Depends On Me | PPInfer |
Imports Me | CEMiTool, DOSE, piano |
Suggests Me | Pi |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | fgsea_1.4.1.tar.gz |
Windows Binary | fgsea_1.4.1.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | fgsea_1.4.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/fgsea |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/fgsea |
Package Short Url | https://bioconductor.org/packages/fgsea/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.6 | Source Archive |