Format

Send to

Choose Destination
Bioinformatics. 2004 Apr 12;20(6):979-81. Epub 2004 Feb 5.

Ontologizing gene-expression microarray data: characterizing clusters with Gene Ontology.

Author information

1
Institute of Medical Genetics, Charité University Hospital, Humboldt University, Augustenburger Platz 1, 13353 Berlin, Germany. peter.robinson@charite.de

Abstract

An XML-based Java application is described that provides a function-oriented overview of the results of cluster analysis of gene-expression microarray data based on Gene Ontology terms and associations. The application generates one HTML page with listings of the frequencies of explicit and implicit Gene Ontology annotations for each cluster, and separate, linked pages with listings of explicit annotations for each gene in a cluster.

PMID:
14764576
DOI:
10.1093/bioinformatics/bth040
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Silverchair Information Systems
Loading ...
Support Center