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.
This package is for version 2.8 of Bioconductor; for the stable, up-to-date release version, see GSRI.
Bioconductor version: 2.8
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 fdm.uni-freiburg.de>
Citation (from within R,
enter citation("GSRI")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported 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")
gsri.pdf | ||
Reference Manual |
biocViews | Bioinformatics, DifferentialExpression, Genetics, Microarray, Software, Transcription |
Version | 2.0.0 |
In Bioconductor since | BioC 2.6 (R-2.11) (6 years) |
License | GPL-3 |
Depends | R (>= 2.12.1), fdrtool |
Imports | methods, graphics, stats, utils, genefilter, Biobase, GSEABase, les(>= 1.1.6) |
LinkingTo | |
Suggests | limma, hgu95av2.db |
SystemRequirements | |
Enhances | multicore |
URL | http://www.fdmold.uni-freiburg.de/~jgehring/ |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | GSRI_2.0.0.tar.gz |
Windows Binary | GSRI_2.0.0.zip |
Mac OS X 10.6 (Snow Leopard) | |
Mac OS X 10.9 (Mavericks) | |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/GSRI/tree/release-2.8 |
Package Short Url | http://bioconductor.org/packages/GSRI/ |
Package Downloads Report | Download Stats |
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