To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GSRI")

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

GSRI

   

Gene Set Regulation Index

Bioconductor version: 3.2

The GSRI package estimates the number of differentially expressed genes in gene sets, utilizing the concept of the Gene Set Regulation Index (GSRI).

Author: Julian Gehring, Kilian Bartholome, Clemens Kreutz, Jens Timmer

Maintainer: Julian Gehring <jg-bico at gmx.com>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GSRI")

Documentation

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

browseVignettes("GSRI")

 

PDF Introduction to the GSRI package: Estimating Regulatory Effects utilizing the Gene Set Regulation Index
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, GeneRegulation, GeneSetEnrichment, Microarray, Software, Transcription
Version 2.18.1
In Bioconductor since BioC 2.6 (R-2.11) (6 years)
License GPL-3
Depends R (>= 2.14.2), fdrtool
Imports methods, graphics, stats, utils, genefilter, Biobase, GSEABase, les(>= 1.1.6)
LinkingTo
Suggests limma, hgu95av2.db
SystemRequirements
Enhances parallel
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source GSRI_2.18.1.tar.gz
Windows Binary GSRI_2.18.1.zip
Mac OS X 10.6 (Snow Leopard) GSRI_2.18.0.tgz
Mac OS X 10.9 (Mavericks) GSRI_2.18.1.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/GSRI/tree/release-3.2
Package Short Url http://bioconductor.org/packages/GSRI/
Package Downloads Report Download Stats

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