Name Mode Size
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AppNote.bib 100644 43 kb
CoGAPSUsersManual.Rnw 100644 23 kb
GISTFigs-Amplitude.pdf 100644 45 kb
GISTFigs-Patterns.pdf 100644 5 kb
chicago.sty 100644 10 kb
README.md
# CoGAPS [![Travis-CI Build Status](https://travis-ci.org/CoGAPS/CoGAPS.svg?branch=master)](https://travis-ci.org/CoGAPS/CoGAPS) [![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/CoGAPS/CoGAPS?branch=master&svg=true)](https://ci.appveyor.com/project/CoGAPS/CoGAPS) [![Coverage Status](https://img.shields.io/codecov/c/github/CoGAPS/CoGAPS/master.svg)](https://codecov.io/github/CoGAPS/CoGAPS?branch=master) Coordinated Gene Activity in Pattern Sets (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.