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This article is part of the supplement: Quantitative inference of gene function from diverse large-scale datasets

Open AccessMethod

Inferring mouse gene functions from genomic-scale data using a combined functional network/classification strategy

Wan Kyu Kim* , Chase Krumpelman* and Edward M Marcotte email

Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas at Austin, Speedway, Austin, Texas 78712, USA

author email corresponding author email* Contributed equally

Genome Biology 2008, 9(Suppl 1):S5doi:10.1186/gb-2008-9-s1-s5

Published: 27 June 2008

Additional files

Additional data file 1:

Overall performance of the various algorithms' capacity to predict mouse gene GO annotation for the MouseFunc contest 'held out' genes.

Format: PDF Size: 63KB Download file

This file can be viewed with: Adobe Acrobat Reader


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