Ontologizing gene-expression microarray data: characterizing clusters with Gene Ontology
Copyright policy )Ontologizing gene-expression microarray data: characterizing clusters with Gene Ontology
Abstract Summary: 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. Availability: http://www.charite.de/ch/medgen/ontologizer
- Humboldt-Universität zu Berlin Germany
- Memorial Sloan Kettering Cancer Center United States
- Humboldt State University United States
Gene Expression Profiling, Information Storage and Retrieval, DNA, Hypermedia, User-Computer Interface, Vocabulary, Controlled, Cluster Analysis, Phylogeny, Software, Natural Language Processing, Oligonucleotide Array Sequence Analysis
Gene Expression Profiling, Information Storage and Retrieval, DNA, Hypermedia, User-Computer Interface, Vocabulary, Controlled, Cluster Analysis, Phylogeny, Software, Natural Language Processing, Oligonucleotide Array Sequence Analysis
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