期刊论文

Wang, Jianxin

英文

BMC Systems Biology

1752-0509

2013

7

4

1-15

10.1186/1752-0509-7-S4-S12

This work is supported in part by the National Natural Science Foundation of China under Grant No. 61232001, No.61128006 and No.61003124; the grant from CityU (Project No. 7002728); the Program for New Century Excellent Talents in University (NCET-10-0798); the Ph.D. Programs Foundation of Ministry of Education of China No.20090162120073, the Freedom Explore Program of Central South University No.201012200124. The paper is based on “Identifying Protein Complexes Based on Local Fitness Method”, by Jun Ren, Jianxin Wang, and Min Li which appeared in Bioinformatics and Biomedicine (BIBM), 2012 IEEE International Conference on, Pages 205-210.

本校为其他机构

Identifying protein complexes is crucial to understanding principles of cellular organization and functional mechanisms. As many evidences have indicated that the subgraphs with high density or with high modularity in PPI network usually correspond to protein complexes, protein complexes detection methods based on PPI network focused on subgraph's density or its modularity in PPI network. However, dense subgraphs may have low modularity and subgraph with high modularity may have low density, which results that protein complexes may be subgraphs...