GSets

Simulated gene sets used to generate amplitude matrix in <code><a rd-options="" href="/link/SimpSim.A?package=CoGAPS&version=2.6.0" data-mini-rdoc="CoGAPS::SimpSim.A">SimpSim.A</a></code> and corresponding data <code><a rd-options="" href="/link/SimpSim.D?package=CoGAPS&version=2.6.0" data-mini-rdoc="CoGAPS::SimpSim.D">SimpSim.D</a></code>.

datasets

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.

Elana J Fertig

CoGAPS

Coordinated Gene Activity in Pattern Sets

GSets function

A <code><a rd-options="" href="/link/list?package=CoGAPS&version=2.6.0" data-mini-rdoc="CoGAPS::list">list</a></code> containing names of genes in two simulated gene sets used to generate the data in <code><a rd-options="" href="/link/SimpSim.D?package=CoGAPS&version=2.6.0" data-mini-rdoc="CoGAPS::SimpSim.D">SimpSim.D</a></code>.

Format

Simulated gene sets used to generate amplitude matrix in <code><a href="SimpSim.A" rd-options="">SimpSim.A</a></code> and corresponding data <code><a href="SimpSim.D" rd-options="">SimpSim.D</a></code>.

GSets: Simulated dataset to quantify gene set membership.

Description

Usage

Arguments

Format