SimpSim.P

True pattern matrix 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.P function

Matrix with 3 patterns by 20 samples of true patterns used to generate simulated data.

Format

True pattern matrix used to generate simulated data in <code><a href="SimpSim.D" rd-options="">SimpSim.D</a></code>.

SimpSim.P: Simulated data

Description

Usage

Arguments

Format