title: Consistent dissection of the protein interaction network by combining global and local metrics.
abstract: We propose a new network decomposition method to systematically identify protein interaction modules in the protein interaction network. Our method incorporates both a global metric and a local metric for balance and consistency. We have compared the performance of our method with several earlier approaches on both simulated and real datasets using different criteria, and show that our method is more robust to network alterations and more effective at discovering functional protein modules.
authors.affiliation: Physical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA. wangcl@stanford.edu
authors.forename: Chunlin
authors.initials: C
authors.lastname: Wang
authors.forename: Chris
authors.initials: C
authors.lastname: Ding
authors.forename: Qiaofeng
authors.initials: Q
authors.lastname: Yang
authors.forename: Stephen R
authors.initials: SR
authors.lastname: Holbrook
mesh_terms: D000465:Algorithms; D005656:Fungal Proteins / Q000378:metabolism; D053263:Gene Regulatory Networks; D040901:Proteomics / Q000379:methods*; D015003:Yeasts / Q000737:chemistry / Q000235:genetics
chemical_list: D005656:Fungal Proteins