Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2013-12-18

Included Journals: Scopus、CPCI-S、EI

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.