IDENTIFICATION OF FUNCTION MODULES IN PROTEIN-PROTEIN INTERACTION NETWORKS BY MODULARITY OPTIMIZATION METHOD

被引：0
|
作者：
Feng, Jun [1 ]
Jia, Ning-Ning [1 ]
Qi, Zhao-Hui [1 ]
Zhang, Xiao-Fen [1 ]
机构：
[1] Shijiazhuang Tiedao Univ, Sch Informat Sci & Technol, Shijiazhuang 050043, Peoples R China
来源：
PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL. 1 | 2015年
关键词：
Protein-protein interaction (PPI) network; Funcion modules identification; Gene ontology analysis; Modularity optimization method;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
It is of great significance to understand the organization and function of the biological system by identifying function modules in protein-protein interaction (PPI) networks. One of important features of PPI networks is large-scale. In this paper, we propose the modules detection method for PPI networks based on modularity optimization. The biological explanations of the funcion modules are analyzed based on Gene Ontology(GO). The experimental results show that most of the detected modules have high match ratio and biological significance no matter what the ontology analysis form. In terms of node loss ratio, the modularity optimization methods are much better than the clique percolation clustering method(CPM).
引用
收藏
页码：47 / 51
页数：5
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