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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