计算机工程与科学2012，Vol.34Issue(1)：124-136,13.DOI:10.3969/j.issn.1007-130X.2012.01.023
蛋白质相互作用网络分析的图聚类方法研究进展
Progress on Graph-Based Clustering Methods for the Analysis of Protein-Protein Interaction Networks
摘要
Abstract
With the increase of large-scale protein-protein interaction data available, it has been possible to understand the basic components and organization of the cell mechanism from the system level. The challenge is how to analyze such complex interacting data to reveal the principles of cellular organization, processes and functions. Many studies have shown that using graph-based clustering methods is an effective approach to analyzing protein-protein interaction data. In this review, several aspects will be presented to describe the recent advances in clustering methods for protein interaction networks, such as the graph models of the PPI network, clustering methods, evaluation methods and applications. Finally, the challenges and directions for future research will be discussed.关键词
系统生物学/蛋白质相互作用网络/图聚类方法/蛋白质复合物/蛋白质功能Key words
system biology/ protein interaction network/ graph-based clustering algorithms/ protein complex/protein function分类
生物科学引用本文复制引用
李敏,武学鸿,王建新,潘毅..蛋白质相互作用网络分析的图聚类方法研究进展[J].计算机工程与科学,2012,34(1):124-136,13.基金项目
国家自然科学基金资助项目(61003124) （61003124）
教育部博士点专项基金资助项目(20090162120073) （20090162120073）
中南大学中央高校基本科研业务费专项资金资助项目(201012200124) （201012200124）
