Detecting overlapping protein complexes in protein-protein interaction networks

被引：0
|
作者：
Nepusz T. [1 ]
Yu H. [2 ]
Paccanaro A. [1 ]
机构：
[1] Department of Computer Science, Centre for Systems and Synthetic Biology, University of London, Egham Hill, Egham
[2] Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY
来源：
Nature Methods | 2012年 / 9卷 / 5期
基金：
英国生物技术与生命科学研究理事会;
关键词：
D O I：
10.1038/nmeth.1938
中图分类号：
学科分类号：
摘要：
We introduce clustering with overlapping neighborhood expansion (ClusterONE), a method for detecting potentially overlapping protein complexes from protein-protein interaction data. ClusterONE-derived complexes for several yeast data sets showed better correspondence with reference complexes in the Munich Information Center for Protein Sequence (MIPS) catalog and complexes derived from the Saccharomyces Genome Database (SGD) than the results of seven popular methods. The results also showed a high extent of functional homogeneity. © 2012 Nature America, Inc. All rights reserved.
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收藏
页码：471 / 472
页数：1
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