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- Title
Predicting protein function from protein/protein interaction data: a probabilistic approach.
- Authors
Letovsky, Stanley; Kasif, Simon
- Abstract
The development of experimental methods for genome scale analysis of molecular interaction networks has made possible new approaches to inferring protein function. This paper describes a method of assigning functions based on a probabilistic analysis of graph neighborhoods in a protein-protein interaction network. The method exploits the fact that graph neighbors are more likely to share functions than nodes which are not neighbors. A binomial model of local neighbor function labeling probability is combined with a Markov random field propagation algorithm to assign function probabilities for proteins in the network.
- Publication
Bioinformatics (Oxford, England), 2003, Vol 19 Suppl 1, pi197
- ISSN
1367-4803
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/btg1026