To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("EBSeq")

In most cases, you don't need to download the package archive at all.

EBSeq

An R package for gene and isoform differential expression analysis of RNA-seq data

Bioconductor version: Release (2.14)

Differential Expression analysis at both gene and isoform level using RNA-seq data

Author: Ning Leng

Maintainer: Ning Leng <nleng at wisc.edu>

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

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("EBSeq")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("EBSeq")

 

PDF R Script EBSeq
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, MultipleComparison, RNASeq, Sequencing, Software, StatisticalMethod
Version 1.4.0
In Bioconductor since BioC 2.13 (R-3.0)
License Artistic-2.0
Depends blockmodeling, gplots, R (>= 3.0.0)
Imports
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me compcodeR

Package Archives

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

Package Source EBSeq_1.4.0.tar.gz
Windows Binary EBSeq_1.4.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) EBSeq_1.4.0.tgz
Mac OS X 10.9 (Mavericks) EBSeq_1.4.0.tgz
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