BayGO: Bayesian analysis of ontology term enrichment in microarray data.

ABSTRACT:

Background

The search for enriched (aka over-represented or enhanced) ontology terms in a list of genes obtained from microarray experiments is becoming a standard procedure for a system-level analysis. This procedure tries to summarize the information focussing on classification designs such as Gene Ontology, KEGG pathways, and so on, instead of focussing on individual genes. Although it is well known in statistics that association and significance are distinct concepts, only the former approach has been used to deal with the ontology term enrichment problem.

Results

BayGO implements a Bayesian approach to search for enriched terms from microarray data. The R source-code is freely available at http://blasto.iq.usp.br/~tkoide/BayGO in three versions: Linux, which can be easi

SUBMITTER: Vencio RZ 

PROVIDER: S-EPMC1440873 | biostudies-literature | 2006 Feb

REPOSITORIES: biostudies-literature