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

DOI: 10.18129/B9.bioc.EBSeq    

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

Bioconductor version: Release (3.6)

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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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 1.18.0
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  

Package Archives

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

Source Package EBSeq_1.18.0.tar.gz
Windows Binary EBSeq_1.18.0.zip
Mac OS X 10.11 (El Capitan) EBSeq_1.18.0.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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