This article is part of the supplement: Quantitative inference of gene function from diverse large-scale datasets
Method
Consistent probabilistic outputs for protein function prediction
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* Corresponding author: William S Noble noble@gs.washington.edu
1 Department of Statistics University of California, Berkeley, Berkeley, CA 94720, USA
2 Department of Electrical and Computer Engineering, University of California, San Diego, San Diego, CA 92093, USA
3 Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
4 Department of Statistics, Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA 94720, USA
5 Department of Genome Sciences, Department of Computer Science and Engineering, University of Washington, Seattle, WA 98195, USA
Genome Biology 2008, 9(Suppl 1):S6 doi:10.1186/gb-2008-9-s1-s6
Published: 27 June 2008Additional files
Additional data file 1:
A detailed description of the 11 reconciliation methods used in this study.
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Additional data file 2:
A systematic set of figures summarizing the performance of all 12 methods across all three evaluation modes, four term sizes, and four recall levels.
Format: PDF Size: 1.5MB Download file
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