To install this package, start R and enter:

## try http:// if https:// URLs are not supported
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: Release (3.5)

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

Author: Ning Leng, Christina Kendziorski

Maintainer: Ning Leng <lengning1 at gmail.com>

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

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
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	1.16.0
In Bioconductor since	BioC 2.13 (R-3.0) (4 years)
License	Artistic-2.0
Depends	blockmodeling, gplots, testthat, R (>= 3.0.0)
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me	EBSeqHMM, Oscope
Imports Me	DEsubs, scDD
Suggests Me	compcodeR
Build Report

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

Source Package	EBSeq_1.16.0.tar.gz
Windows Binary	EBSeq_1.16.0.zip
Mac OS X 10.11 (El Capitan)	EBSeq_1.16.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/EBSeq
Package Short Url	http://bioconductor.org/packages/EBSeq/
Package Downloads Report	Download Stats

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