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Neighbor affinity based algorithm for discovering temporal protein complex from dynamic PPI network

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成果类型:
期刊论文
作者:
Shen, Xianjun;Yi, Li;Jiang, Xingpeng(蒋兴鹏);Zhao, Yanli;Hu, Xiaohua;...
通讯作者:
Yang, Jincai(杨进才
作者机构:
[Jiang, Xingpeng; Yang, Jincai; He, Tingting; Shen, Xianjun; Hu, Xiaohua; Yi, Li; Zhao, Yanli] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.
[Hu, Xiaohua] Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA.
通讯机构:
[Yang, Jincai] C
Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.
语种:
英文
关键词:
*Clustering coefficient;*Neighbor affinity;*Temporal protein complex;*Time course protein interaction networks
期刊:
Methods
ISSN:
1046-2023
年:
2016
卷:
110
页码:
90-96
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61532008]; International Cooperation Project of Hubei Province [2014BHE0017]; Self-determined Research Funds of CCNU from Colleges' Basic Research and Operation of MOE [CCNU14A02008, CCNU15ZD003, CCNU14A05016]
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
Detection of temporal protein complexes would be a great aid in furthering our knowledge of the dynamic features and molecular mechanism in cell life activities. Most existing clustering algorithms for discovering protein complexes are based on static protein interaction networks in which the inherent dynamics are often overlooked. We propose a novel algorithm DPC-NADPIN (Discovering Protein Complexes based on Neighbor Affinity and Dynamic Protein Interaction Network) to identify temporal protein complexes from the time course protein interacti...

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