title: Detecting overlapping protein complexes in protein-protein interaction networks.
abstract: 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.
authors.affiliation: Department of Computer Science, Centre for Systems and Synthetic Biology, Royal Holloway, University of London, Egham Hill, Egham, UK.
authors.forename: Tamás
authors.initials: T
authors.lastname: Nepusz
authors.forename: Haiyuan
authors.initials: H
authors.lastname: Yu
authors.forename: Alberto
authors.initials: A
authors.lastname: Paccanaro
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D025941:Protein Interaction Mapping / Q000379:methods*; D060066:Protein Interaction Maps; D012441:Saccharomyces cerevisiae / Q000378:metabolism*; D029701:Saccharomyces cerevisiae Proteins / Q000378:metabolism*
chemical_list: D029701:Saccharomyces cerevisiae Proteins