Detecting functional modules in the yeast protein–protein interaction network
Author(s) -
Jingchun Chen,
Bo Yuan
Publication year - 2006
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btl370
Subject(s) - betweenness centrality , computer science , computational biology , interaction network , identification (biology) , partition (number theory) , annotation , graph , protein–protein interaction , functional genomics , proteome , theoretical computer science , biology , artificial intelligence , gene , bioinformatics , genomics , genome , genetics , mathematics , centrality , botany , combinatorics
Identification of functional modules in protein interaction networks is a first step in understanding the organization and dynamics of cell functions. To ensure that the identified modules are biologically meaningful, network-partitioning algorithms should take into account not only topological features but also functional relationships, and identified modules should be rigorously validated.
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