• DocumentCode
    2564047
  • Title

    Cluster analysis of the p53 genetic regulatory network: topology and biology

  • Author

    Hallinan, Jennifer S.

  • Author_Institution
    Queensland Univ., St. Lucia, Qld., Australia
  • fYear
    2004
  • fDate
    7-8 Oct. 2004
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    We describe a network module detection approach which combines a rapid and robust clustering algorithm with an objective measure of the coherence of the modules identified. The approach is applied to the network of genetic regulatory interactions surrounding the tumor suppressor gene p53. This algorithm identifies ten clusters in the p53 network, which are visually coherent and biologically plausible.
  • Keywords
    cancer; genetics; medical computing; molecular biophysics; pattern clustering; proteins; tumours; gene p53; genetic regulatory interaction; network module detection; robust clustering algorithm; tumor; Bioinformatics; Cancer; Clustering algorithms; DNA; Databases; Genetics; Neoplasms; Network topology; Proteins; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Bioinformatics and Computational Biology, 2004. CIBCB '04. Proceedings of the 2004 IEEE Symposium on
  • Print_ISBN
    0-7803-8728-7
  • Type

    conf

  • DOI
    10.1109/CIBCB.2004.1393924
  • Filename
    1393924