This article is part of the supplement: Quantitative inference of gene function from diverse large-scale datasetsInferring mouse gene functions from genomic-scale data using a combined functional network/classification strategyCenter 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):S5doi:10.1186/gb-2008-9-s1-s5
Additional filesAdditional 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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