CoGAPS

Coordinated Gene Activity in Pattern Sets

Bioconductor version: Development (2.8)

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 , Michael F. Ochs

To install this package, start R and enter:

source("http:///biocLite.R")
biocLite("CoGAPS")    

Documentation

PDF

R Script

GAPS/CoGAPS Users Manual

Reference Manual

Details

biocViews	GeneExpression, Microarray, Bioinformatics
Depends	R, rjags, R.utils
Imports	graphics, grDevices, methods, stats, utils
Suggests
System Requirements	GAPS-JAGS (==1.0.2)
License	GPL (== 2)
URL	http://www.cancerbiostats.onc.jhmi.edu/cogaps.cfm
Depends On Me
Imports Me
Suggests Me
Version	1.1.0

Package Downloads

Package Source	CoGAPS_1.1.0.tar.gz
Windows Binary
MacOS 10.5 (Leopard) binary
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