Ontologizing gene-expression microarray data: characterizing clusters with Gene Ontology.
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.
Robinson
Peter N
PN
Institute of Medical Genetics, Charité University Hospital, Humboldt University, Augustenburger Platz 1, 13353 Berlin, Germany. peter.robinson@charite.de
Wollstein
Andreas
A
Böhme
Ulrike
U
Beattie
Brad
B
D016000:Cluster Analysis; D004247:DNA / Q000145:classification* / Q000235:genetics*; D020869:Gene Expression Profiling / Q000379:methods*; D019146:Hypermedia; D016247:Information Storage and Retrieval / Q000379:methods*; D009323:Natural Language Processing; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D010802:Phylogeny; D012984:Software; D014584:User-Computer Interface; D018875:Vocabulary, Controlled
D004247:DNA