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 (3.1)

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

Author: Ning Leng, Christina Kendziorski

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 Vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, MultipleComparison, RNASeq, Sequencing, Software, StatisticalMethod
Version 1.8.0
In Bioconductor since BioC 2.13 (R-3.0) (2 years)
License Artistic-2.0
Depends blockmodeling, gplots, R (>= 3.0.0)
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me EBSeqHMM
Imports Me
Suggests Me compcodeR
Build Report  

Package Archives

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

Package Source EBSeq_1.8.0.tar.gz
Windows Binary EBSeq_1.8.0.zip
Mac OS X 10.6 (Snow Leopard) EBSeq_1.8.0.tgz
Mac OS X 10.9 (Mavericks) EBSeq_1.8.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/EBSeq/tree/release-3.1
Package Short Url http://bioconductor.org/packages/EBSeq/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

Fred Hutchinson Cancer Research Center