计算机工程与应用2019，Vol.55Issue(8)：17-26,10.DOI:10.3778/j.issn.1002-8331.1812-0004
蛋白质功能模块检测的聚类方法综述
Research Progress of Functional Module Detection for Protein-Protein Interaction Networks
摘要
Abstract
Detection of protein functional modules in Protein-Protein Interaction(PPI)networks is helpful to predict the functional modules of unknown proteins. With the rapid growth of effective data of protein interaction, how to obtain effec-tive protein functional modules through PPI network has become the biggest challenge. This paper describes the develop-ment and current situation of PPI network research, then summarizes the current detection algorithms of protein functional modules, divides them into unit clustering and multivariate clustering, and elaborates the representative methods of each category in detail. Finally, it discusses the challenges and the future research directions of the PPI network functional module detection research.关键词
蛋白质相互作用/蛋白质功能模块/检测/聚类Key words
protein-protein interaction/ protein function module/ detecting/ clustering分类
信息技术与安全科学引用本文复制引用
霍思聪,黎英..蛋白质功能模块检测的聚类方法综述[J].计算机工程与应用,2019,55(8):17-26,10.基金项目
广东省自然科学基金(No.2016A030313703) （No.2016A030313703）
广东省交通运输厅科技项目(No.科技-2016-02-030) （No.科技-2016-02-030）
广东省科技计划项目(No.2016B030305002) （No.2016B030305002）
广东省自然科学基金(No.2016A030313713) （No.2016A030313713）
广东省科技计划产学研项目(No.2017B090901005). （No.2017B090901005）
