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Indexed by:会议论文

Date of Publication:2013-12-18

Included Journals:EI、CPCI-S、Scopus

Page Number:188

Key Words:Protein-protein interaction network; protein complexes; supervised learning; Regression model

Abstract:In this paper, we present a supervised learning-based method for predicting protein complexes in protein interaction network. The method extracts rich features from protein interaction network to train a Regression model, which is then used for the cliques filtering, growth, and candidate complex filtering. The experimental results on several protein interaction networks show that our method outperforms other state-of-the-art protein complex detection methods.