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

Peter N Robinson·Andreas Wollstein·Ulrike Böhme·Brad Beattie
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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.

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Cluster AnalysisDNAGene Expression ProfilingHypermediaInformation Storage and RetrievalNatural Language ProcessingOligonucleotide Array Sequence AnalysisPhylogenySoftwareUser-Computer InterfaceVocabulary, ControlledJournal Article

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Peter N Robinson, Andreas Wollstein, Ulrike Böhme, Brad Beattie. 2004-02-05. Ontologizing gene-expression microarray data: characterizing clusters with Gene Ontology.. https://doi.org/10.1093/bioinformatics%2Fbth040

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