• DocumentCode
    3036109
  • Title

    Modular clustering of protein-protein interaction networks

  • Author

    Sohaee, Nassim ; Forst, Christian V.

  • Author_Institution
    Southwestern Med. Center, Dept. of Clinical Sci., Univ. of Texas, Dallas, TX, USA
  • fYear
    2010
  • fDate
    2-5 May 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Identifying the modular structures in protein-protein interaction networks is crucial to the understanding of the organization and function of biological systems. In this paper we introduce the concept of critical module in a network and propose an efficient algorithm to find all critical modules in a given network. Finally we tested the proposed algorithm on Yeast protein interaction data set.
  • Keywords
    bioinformatics; pattern clustering; biological systems; critical modules; modular clustering; protein-protein interaction networks; yeast protein interaction data set; Algorithm design and analysis; Biological systems; Clustering algorithms; Fungi; Information resources; Machinery; Network topology; Partitioning algorithms; Proteins; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2010 IEEE Symposium on
  • Conference_Location
    Montreal, QC
  • Print_ISBN
    978-1-4244-6766-2
  • Type

    conf

  • DOI
    10.1109/CIBCB.2010.5510590
  • Filename
    5510590
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3036109