Functional Module Detection Based on Multi-label Propagation Mechanism in Protein-Protein Interaction Networks
HAN Yue, JI Junzhong, YANG Cuicui
Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Compute Science, Beijing University of Technology, Beijing 100124
Abstract Due to the fast and efficient solution of multi-label propagation algorithm in detecting community for social network, a functional module detection based on multi-label propagation mechanism in protein-protein interaction (PPI) networks (MLP-FMD) is proposed by merging multi-source protein biological knowledge. Firstly, the labels of nodes are initialized by using the functional and structural information of a PPI Network. Then, the co-expression of the protein is calculated by using the gene expression data and thus the label set of the nodes is constructed, and the label is selected to achieve the true and reliable transmission among the nodes. Finally, the nodes with same identifier are divided into the same functional module, and the final result is obtained. Experiments show good time performance and a certain competitive ability of the detection accuracy of the proposed algorithm.
Corresponding Authors:
JI Junzhong (Corresponding author), born in 1969, Ph.D., professor. His research interests include machine learning, data mining, swarm intelligence algorithm and bioinformatics.
About author:: HAN Yue, born in 1990, master student. Her research inte-rests include artificial intelligence and data mining.YANG Cuicui, born in 1985, Ph.D.candidate. Her research interests include data mining, machine learning and swarm inte-lligence algorithm.
HAN Yue,JI Junzhong,YANG Cuicui. Functional Module Detection Based on Multi-label Propagation Mechanism in Protein-Protein Interaction Networks[J]. , 2016, 29(6): 548-557.
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