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This article is part of the supplement: Quantitative inference of gene function from diverse large-scale datasets

Open AccessMethod

Combining guilt-by-association and guilt-by-profiling to predict Saccharomyces cerevisiae gene function

Weidong Tian1, Lan V Zhang1,4, Murat Taşan1, Francis D Gibbons1,5, Oliver D King1,6, Julie Park2, Zeba Wunderlich1,7, J Michael Cherry2 and Frederick P Roth1,3 email

1Department 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

author email corresponding author email

Genome Biology 2008, 9(Suppl 1):S7doi:10.1186/gb-2008-9-s1-s7

Published: 27 June 2008

Additional files

Additional data file 1:

Expert evaluation of GO predictions by Funckenstein.

Format: PDF Size: 116KB Download file

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