To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("CoGAPS")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
Coordinated Gene Activity in Pattern Sets (CoGAPS) infers biological processes which are active in individual gene sets from corresponding microarray measurements. CoGAPS achieves this inference by combining a MCMC matrix decomposition algorithm (GAPS) with a novel statistic inferring activity on gene sets.
Author: Elana J. Fertig
Maintainer: Elana J. Fertig <ejfertig at jhmi.edu>, Michael F. Ochs <mfo at jhu.edu>
Citation (from within R,
enter citation("CoGAPS")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("CoGAPS")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CoGAPS")
R Script | GAPS/CoGAPS Users Manual | |
Reference Manual | ||
Text | NEWS |
biocViews | Bioinformatics, GeneExpression, Microarray, Software |
Version | 1.12.0 |
In Bioconductor since | BioC 2.7 (R-2.12) |
License | GPL (== 2) |
Depends | R (>= 2.9.0), R.utils (>= 1.2.4), gplots (>= 2.8.0) |
Imports | graphics, grDevices, methods, stats, utils |
Suggests | |
System Requirements | GAPS-JAGS (==1.0.2) |
URL | http://sourceforge.net/p/cogapscpp/wiki/Home/ |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | CoGAPS_1.12.0.tar.gz |
Windows Binary | |
Mac OS X 10.6 (Snow Leopard) | |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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