Validating gene clusterings by selecting informative gene ontology terms with mutual information

Authors:
Ivan G. Costa;Marcilio C. P. de Souto;Alexander Schliep
Affiliations:
Max-Planck-Institut für Molekulare Genetik, Berlin, Germany;Dep. de Informática e Matemática Aplicada, UFRN, Natal, RN, Brazil;Max-Planck-Institut für Molekulare Genetik, Berlin, Germany
Venue:
BSB'07 Proceedings of the 2nd Brazilian conference on Advances in bioinformatics and computational biology
Year:
2007

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Abstract

We propose a method for global validation of gene clusterings. The method selects a set of informative and non-redundant GO terms through an exploration of the Gene Ontology structure guided by mutual information. Our approach yields a global assessment of the clustering quality, and a higher level interpretation for the clusters, as it relates GO terms with specific clusters. We show that in two gene expression data sets our method offers an improvement over previous approaches.