Description Author(s) References
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 |
Maintainer: Elana J. Fertig ejfertig@jhmi.edu, Michael F. Ochs ochsm@tcnj.edu
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
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