This article is part of the supplement: Quantitative inference of gene function from diverse large-scale datasets
Method
Combining guilt-by-association and guilt-by-profiling to predict Saccharomyces cerevisiae gene function
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* Corresponding author: Frederick P Roth fritz_roth@hms.harvard.edu
1 Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Longwood Avenue, Boston, Massachusetts 02115, USA
2 Department of Genetics, School of Medicine, Stanford University, Stanford, California 94305-5120, USA
3 Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Jimmy Fund Way, Boston, Massachusetts 02115, USA
4 McKinsey and Company, Hansen Way, Palo Alto, California 94304, USA
5 Merrimack Pharmaceuticals, Kendall Square, Cambridge, Massachusetts 02139, USA
6 Boston Biomedical Research Institute (BBRI), Grove St., Watertown, Massachusetts 02472, USA
7 Massachusetts Institute of Technology, Massachusetts Ave, Cambridge, Massachusetts 02139, USA
Genome Biology 2008, 9(Suppl 1):S7 doi:10.1186/gb-2008-9-s1-s7
Published: 27 June 2008Additional files
Additional data file 1:
Expert evaluation of GO predictions by Funckenstein.
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