edgeR

Empirical analysis of digital gene expression data in R

Bioconductor version: 2.6

Estimation and Testing for Differential Expression in Multiple Digital Gene Expression Libraries.

Author: Mark Robinson, Davis McCarthy , Gordon Smyth

Maintainer: Mark Robinson , Davis McCarthy , Gordon Smyth

To install this package, start R and enter:

source("http:///biocLite.R")
biocLite("edgeR")    

Documentation

PDF	R Script	edgeR User's Guide
PDF		edgeR_case_study_Li_MDSplot.pdf
PDF		edgeR_case_study_longSAGE_MDSplot.pdf

Reference Manual

Details

biocViews	Bioinformatics, DifferentialExpression, Statistics, SAGE, HighThroughputSequencing, RNAseq
Depends	R, methods
Imports	limma
Suggests	MASS
System Requirements
License	LGPL (>= 2)
URL
Depends On Me	oneChannelGUI
Imports Me
Suggests Me	goseq
Version	1.6.15

Package Downloads

Package Source	edgeR_1.6.15.tar.gz
Windows Binary	edgeR_1.6.15.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	edgeR_1.6.15.tgz
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