CoGAPS-package {CoGAPS} | R Documentation

## CoGAPS: Coordinated Gene Activity in Pattern Sets

### Description

CoGAPS implements a Bayesian MCMC matrix factorization algorithm, GAPS, and links it to gene set statistic methods to infer biological process activity. It can be used to perform sparse matrix factorization on any data, and when this data represents biomolecules, to do gene set analysis.

Package: | CoGAPS
Type: | Package
Version: | 2.99.0
Date: | 2018-01-24
License: | LGPL

### Author(s)

Maintainer: Elana J. Fertig ejfertig@jhmi.edu, Michael F. Ochs ochsm@tcnj.edu

### References

Fertig EJ, Ding J, Favorov AV, Parmigiani G, Ochs MF. CoGAPS: an R/C++ package to identify patterns and biological process activity in transcriptomic data. Bioinformatics. 2010 Nov 1;26(21):2792-3

[Package CoGAPS version 3.2.40 Index]