This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see edgeR.
Bioconductor version: 3.10
Differential expression analysis of RNA-seq expression profiles with biological replication. Implements a range of statistical methodology based on the negative binomial distributions, including empirical Bayes estimation, exact tests, generalized linear models and quasi-likelihood tests. As well as RNA-seq, it be applied to differential signal analysis of other types of genomic data that produce counts, including ChIP-seq, Bisulfite-seq, SAGE and CAGE.
Author: Yunshun Chen, Aaron TL Lun, Davis J McCarthy, Matthew E Ritchie, Belinda Phipson, Yifang Hu, Xiaobei Zhou, Mark D Robinson, Gordon K Smyth
Maintainer: Yunshun Chen <yuchen at wehi.edu.au>, Aaron Lun <infinite.monkeys.with.keyboards at gmail.com>, Mark Robinson <mark.robinson at imls.uzh.ch>, Gordon Smyth <smyth at wehi.edu.au>
Citation (from within R,
enter citation("edgeR")
):
To install this package, start R (version "3.6") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("edgeR")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("edgeR")
edgeR Vignette | ||
edgeRUsersGuide.pdf | ||
Reference Manual | ||
Text | NEWS |
Follow Installation instructions to use this package in your R session.
Source Package | edgeR_3.28.1.tar.gz |
Windows Binary | edgeR_3.28.1.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | edgeR_3.28.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/edgeR |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/edgeR |
Package Short Url | https://bioconductor.org/packages/edgeR/ |
Package Downloads Report | Download Stats |
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