edgeR
This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see edgeR.
Empirical Analysis of Digital Gene Expression Data in R
Bioconductor version: 3.7
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 <yuchen at wehi.edu.au>, Aaron Lun <alun at wehi.edu.au>, Davis McCarthy <dmccarthy at wehi.edu.au>, Xiaobei Zhou <xiaobei.zhou at uzh.ch>, Mark Robinson <mark.robinson at imls.uzh.ch>, Gordon Smyth <smyth at wehi.edu.au>
Maintainer: Yunshun Chen <yuchen at wehi.edu.au>, Aaron Lun <alun at wehi.edu.au>, Mark Robinson <mark.robinson at imls.uzh.ch>, Davis McCarthy <dmccarthy at wehi.edu.au>, Gordon Smyth <smyth at wehi.edu.au>
citation("edgeR")
):
Installation
To install this package, start R (version "3.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("edgeR")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
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 | |
NEWS | Text |
Details
biocViews | AlternativeSplicing, BatchEffect, Bayesian, ChIPSeq, Clustering, Coverage, DNAMethylation, DifferentialExpression, DifferentialMethylation, DifferentialSplicing, GeneExpression, GeneSetEnrichment, Genetics, MultipleComparison, Normalization, Pathways, QualityControl, RNASeq, Regression, SAGE, Sequencing, Software, TimeCourse, Transcription |
Version | 3.22.5 |
In Bioconductor since | BioC 2.3 (R-2.8) (15.5 years) |
License | GPL (>=2) |
Depends | R (>= 2.15.0), limma(>= 3.34.5) |
Imports | graphics, stats, utils, methods, locfit, Rcpp |
System Requirements | C++11 |
URL | http://bioinf.wehi.edu.au/edgeR |
See More
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | edgeR_3.22.5.tar.gz |
Windows Binary | edgeR_3.22.5.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | edgeR_3.22.5.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/edgeR |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/edgeR |
Bioc Package Browser | https://code.bioconductor.org/browse/edgeR/ |
Package Short Url | https://bioconductor.org/packages/edgeR/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.7 | Source Archive |