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Identification of overlapping protein complexes by fuzzy K-medoids clustering algorithm in yeast protein-protein interaction networks

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成果类型:
期刊论文
作者:
Cao, Buwen*;Deng, Shuguang;Luo, Jiawei;Ding, Pingjian;Wang, Shulin
通讯作者:
Cao, Buwen
作者机构:
[Cao, Buwen] Hunan City Univ, Sch Informat Sci & Engn, Yiyang 413000, Peoples R China.
[Deng, Shuguang] Hunan City Univ, Coll Commun & Elect Engn, Yiyang, Peoples R China.
[Wang, Shulin; Cao, Buwen; Luo, Jiawei; Ding, Pingjian] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Hunan, Peoples R China.
通讯机构:
[Cao, Buwen] H
Hunan City Univ, Sch Informat Sci & Engn, Yiyang 413000, Peoples R China.
语种:
英文
关键词:
PPI;protein complex;overlapping;K-medoids;Fuzzy relation
期刊:
Journal of Intelligent and Fuzzy Systems
ISSN:
1064-1246
年:
2018
卷:
34
期:
1
页码:
93-103
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61572180, 61472467, 61471164, 61672011, 61602164]; Hunan Provincial Natural Science Foundation of ChinaNatural Science Foundation of Hunan Province [13JJ2017, 2016JJ2012]; Key Project of the Education Department of Hunan Province [17A037]
机构署名:
本校为第一且通讯机构
院系归属:
信息与电子工程学院
摘要:
The identification of overlapping protein complexes in proteinprotein interaction (PPI) networks may elucidate cellular functional organizations and their underlying cellular mechanisms. Recently, many protein complex mining algorithms have been developed for PPI networks. However, the majority of available algorithms primarily depend on mining dense subgraphs as protein complexes, thereby failing to consider the inherent biological meanings between protein pairs. Thus, methods for identifying protein complexes using the biological significance hidden in edges need to be investigated. In this ...

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