Methodology article
A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge
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* Corresponding author: Young-Rae Cho ycho8@cse.buffalo.edu
1 Department of Computer Science and Engineering, State University of New York, Buffalo, NY, USA
2 Department of Pharmaceutical Sciences, State University of New York, Buffalo, NY, USA
BMC Bioinformatics 2008, 9:382 doi:10.1186/1471-2105-9-382
Published: 18 September 2008Additional files
Additional file 1:
Function prediction results for unknown proteins. For each unknown protein, our probabilistic approach predicted a set of functions with prediction confidence of greater than 10. The predicted functions are described as the IDs used in MIPS.
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