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论文类型： 期刊论文

发表时间： 2016-02-29

发表刊物： NEUROCOMPUTING

收录刊物： SCIE、EI、Scopus

卷号： 179

页面范围： 283-289

ISSN号： 0925-2312

关键字： MiRNA functional similarity; TRAM; Protein-protein interaction network; Prediction

摘要： Plant miRNAs play critical roles in the response to abiotic and biotic stress. The advancement in the number of plant miRNA functions lags far behind that of plant miRNAs. In this paper, a method to predict the functions of plant miRNAs is proposed. The functional similarity between each pair of miRNAs is inferred based on a weighted protein-protein interaction network (WPPIN) and graph-theoretic properties. A miRNA functional similarity network (MFSN) is constructed by a simple but robust rank-based approach. Transductive multi-label classification (TRAM) is applied to the MFSN. The experimental results demonstrate that our prediction approach obtains high effectiveness in Arabidopsis thaliana. It can also be applied to other plant species when protein-protein interaction networks of various organisms are available. (C) 2015 Elsevier B.V. All rights reserved.