期刊论文、会议论文

Zhang, Xiao-Fei

英文

2016 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)

2156-1125

2017

645-650

IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM)

IEEE International Conference on Bioinformatics and Biomedicine-BIBM

DEC 15-18, 2016

Shenzhen, PEOPLES R CHINA

[Le Ou-Yang] Shenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China.^[Le Ou-Yang;Yan, Hong] City Univ Hong Kong, Dept Elect & Engn, Hong Kong, Hong Kong, Peoples R China.^[Zhang, Xiao-Fei] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.^[Zhang, Xiao-Fei] Cent China Normal Univ, Hubei Key Lab Math Sci, Wuhan 430079, Peoples R China.

IEEE, IEEE Comp Soc, Natl Sci Fdn, Harbin Inst Technol

Tian, T Jiang, Q Liu, Y Burrage, K Song, J Wang, Y Hu, X Morishita, S Zhu, Q Wang, G

10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA

IEEE COMPUTER SOC

978-1-5090-1610-5

10.1109/BIBM.2016.7822594

National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61402190, 61532008, 61602309]; Self-determined Research Funds of CCNU from the colleges' basic research and operation of MOE [CCNU15A05039, CCNU15ZD011]; Hong Kong Research Grants CouncilHong Kong Research Grants Council [CityU C1007-15G]

本校为通讯机构

The detection of protein complexes from protein-protein interaction (PPI) networks is an important step toward understanding the functional organization within cells. A great number of graph clustering algorithms have been proposed to undertake this task. Since PPI data collected by high-throughput technologies is quite noisy, simply applying graph clustering algorithms on PPI data is generally not adequate to achieve reliable prediction results. Behind protein interactions, there are protein domains that interact with each other. Jointly explo...