Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with 
Mutual Information.

Costa, Ivan G.; de Souto, Marcilio C. P.; Schliep, Alexander

doi:10.1007/978-3-540-73731-5_8

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Series

Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information.

MPS-Authors

/persons/resource/persons50127

Costa, Ivan G.
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

/persons/resource/persons50523

Schliep, Alexander
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information. Berlin/Heidelberg: Springer.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-8CED-A

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.