To install this package, start R and enter:

## try http if https is not available
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: 3.1

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 <julian.gehring at embl.de>

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

To install this package, start R and enter:

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

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

browseVignettes("GSRI")

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

biocViews	DifferentialExpression, GeneRegulation, GeneSetEnrichment, Microarray, Software, Transcription
Version	2.16.0
In Bioconductor since	BioC 2.6 (R-2.11) (5.5 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	http://julian-gehring.github.com/GSRI/
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	GSRI_2.16.0.tar.gz
Windows Binary	GSRI_2.16.0.zip
Mac OS X 10.6 (Snow Leopard)	GSRI_2.16.0.tgz
Mac OS X 10.9 (Mavericks)	GSRI_2.16.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/GSRI/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/GSRI/
Package Downloads Report	Download Stats

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