JSW 2013 Vol.8(12): 3132-3138 ISSN: 1796-217X
doi: 10.4304/jsw.8.12.3132-3138
doi: 10.4304/jsw.8.12.3132-3138
Identification of Protein Complexes in PPI Networks by a Fuzzy Method
Danling Wang1, Yanfei Wang2
1School of Mathematics and Physics,
University of Science and Technology Beijing, Beijing, 100083, China
2School of Sciences, China Agricultural University, Beijing, 100083, China
Abstract—In this paper, we introduce a novel fuzzy method which is combined fuzzy relation, interaction probability values and hub structure to detect sub-communities in complex networks. We apply our method on yeast proteinprotein interaction network to identify the protein complexes. Compared with traditional method, more protein complexes have been identified by this new fuzzy method. Meanwhile, we evaluate our method on two real social networks. The experimental results show that our method works well and give a reasonable understanding of these communities.
Index Terms—Complex networks, fuzzy clustering, subcommunities, protein complexes, PPI networks.
2School of Sciences, China Agricultural University, Beijing, 100083, China
Abstract—In this paper, we introduce a novel fuzzy method which is combined fuzzy relation, interaction probability values and hub structure to detect sub-communities in complex networks. We apply our method on yeast proteinprotein interaction network to identify the protein complexes. Compared with traditional method, more protein complexes have been identified by this new fuzzy method. Meanwhile, we evaluate our method on two real social networks. The experimental results show that our method works well and give a reasonable understanding of these communities.
Index Terms—Complex networks, fuzzy clustering, subcommunities, protein complexes, PPI networks.
Cite: Danling Wang, Yanfei Wang, "Identification of Protein Complexes in PPI Networks by a Fuzzy Method," Journal of Software vol. 8, no. 12, pp. 3132-3138, 2013.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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