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

This package is for version 2.10 of Bioconductor; for the stable, up-to-date release version, see GSRI.

Gene Set Regulation Index

Bioconductor version: 2.10

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")):

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
Text LICENSE

Details

biocViews Bioinformatics, DifferentialExpression, Genetics, Microarray, Software, Transcription
Version 2.4.0
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 multicore
URL http://julian-gehring.github.com/GSRI/
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_2.4.0.tar.gz
Windows Binary GSRI_2.4.0.zip
Mac OS X 10.6 (Snow Leopard)
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/GSRI/tree/release-2.10
Package Short Url http://bioconductor.org/packages/GSRI/
Package Downloads Report Download Stats

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