SimpSim.A

True amplitude matrix generated from gene sets in <code><a rd-options="" href="/link/GSets?package=CoGAPS&version=2.6.0" data-mini-rdoc="CoGAPS::GSets">GSets</a></code> used to generate simulated 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>.

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

SimpSim.A function

Matrix with 30 genes by 3 patterns of true amplitude used to generate simulated data.

Format

True amplitude matrix generated from gene sets in <code><a href="GSets" rd-options="">GSets</a></code> used to generate simulated data in <code><a href="SimpSim.D" rd-options="">SimpSim.D</a></code>.

SimpSim.A: Simulated data

Description

Usage

Arguments

Format