Coordinated Gene Activity in Pattern Sets

Bioconductor version: 2.10

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>, Michael F. Ochs <mfo at>

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PDF R Script GAPS/CoGAPS Users Manual
PDF   Reference Manual
Text   NEWS


biocViews Bioinformatics, GeneExpression, Microarray, Software
Depends R (>= 2.9.0), R.utils (>= 1.2.4)
Imports graphics, grDevices, methods, stats, utils
System Requirements GAPS-JAGS (==1.0.2)
License GPL (== 2)
Depends On Me
Imports Me
Suggests Me
Version 1.6.0
Since Bioconductor 2.7 (R-2.12)

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Package Source CoGAPS_1.6.0.tar.gz
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Fred Hutchinson Cancer Research Center