To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("GSRI")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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:
source("http://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")
R Script | Introduction to the GSRI package: Estimating Regulatory Effects utilizing the Gene Set Regulation Index | |
Reference Manual | ||
Text | NEWS |
biocViews | Bioinformatics, DifferentialExpression, Genetics, Microarray, Software, Transcription |
Version | 2.10.0 |
In Bioconductor since | BioC 2.6 (R-2.11) |
License | GPL-3 |
Depends | R (>= 2.14.2), fdrtool |
Imports | methods, graphics, stats, utils, genefilter, Biobase, GSEABase, les(>= 1.1.6) |
Suggests | limma, hgu95av2.db |
System Requirements | |
URL | http://julian-gehring.github.com/GSRI/ |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | GSRI_2.10.0.tar.gz |
Windows Binary | GSRI_2.10.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | GSRI_2.10.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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