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论文类型：会议论文

发表时间：2013-12-18

收录刊物：EI、CPCI-S、Scopus

页面范围：188

关键字：Protein-protein interaction network; protein complexes; supervised learning; Regression model

摘要：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.