Detection of functional modules from protein interaction networks with an enhanced random walk based algorithm

Bingjing Cai, Haiying Wang, Huiru Zheng, Hui Wang

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In this paper, we propose a new random walk-based clustering algorithm for detecting functional modules in protein-protein interaction (PPI) networks. It has been tested on two yeast PPI networks. Greater precision, better homogeneity and higher modularity were achieved in comparison with the results produced by the recently developed RRW clustering technique and the well-known CFinder algorithm. A much higher level of true positives were observed in the clustering results. The analysis indicated that the proposed method can not only detect overlapping modules but also be potentially used to identify functional modules with different topological structures, which may not be highly connected.

Original languageEnglish
Pages (from-to)290-306
Number of pages17
JournalInternational Journal of Computational Biology and Drug Design
Volume4
Issue number3
Early online date21 Jul 2011
DOIs
Publication statusPublished (in print/issue) - 31 Jul 2011

Keywords

  • Graph clustering
  • PPIs
  • Protein-protein interactions
  • Random walks

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