To install this package, start R and enter:

## try http if https is not available
source("https://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: 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")):

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("EBSeq")

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

browseVignettes("EBSeq")

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

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

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