This article is part of the supplement: Quantitative inference of gene function from diverse large-scale datasets
Method
Inferring mouse gene functions from genomic-scale data using a combined functional network/classification strategy
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* Corresponding author: Edward M Marcotte marcotte@icmb.utexas.edu
- † Equal contributors
Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas at Austin, Speedway, Austin, Texas 78712, USA
Genome Biology 2008, 9(Suppl 1):S5 doi:10.1186/gb-2008-9-s1-s5
Published: 27 June 2008Additional 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.
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