This article is part of the supplement: Quantitative inference of gene function from diverse large-scale datasetsCombining guilt-by-association and guilt-by-profiling to predict Saccharomyces cerevisiae gene function1Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Longwood Avenue, Boston, Massachusetts 02115, USA 2Department of Genetics, School of Medicine, Stanford University, Stanford, California 94305-5120, USA 3Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Jimmy Fund Way, Boston, Massachusetts 02115, USA 4McKinsey and Company, Hansen Way, Palo Alto, California 94304, USA 5Merrimack Pharmaceuticals, Kendall Square, Cambridge, Massachusetts 02139, USA 6Boston Biomedical Research Institute (BBRI), Grove St., Watertown, Massachusetts 02472, USA 7Massachusetts Institute of Technology, Massachusetts Ave, Cambridge, Massachusetts 02139, USA
Genome Biology 2008, 9(Suppl 1):S7doi:10.1186/gb-2008-9-s1-s7
Additional filesAdditional data file 1: Expert evaluation of GO predictions by Funckenstein. Format: PDF Size: 116KB Download file This file can be viewed with: Adobe Acrobat Reader |


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