GIST.D

Gene expression data from gastrointestinal stromal tumor cell lines treated with Gleevec.


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

GIST.D function

Matrix with 1363 genes by 9 samples of mean gene expression data.

Format

Gene expression data from gastrointestinal stromal tumor cell lines treated with Gleevec.

GIST.D: Sample GIST gene expression data from Ochs et al. (2009).

Description

Usage

Arguments

Format

References