Cluster analysis of the p53 genetic regulatory network

topology and biology

Jennifer S. Hallinan

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

5 Citations (Scopus)

Abstract

In this paper 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.

Original languageEnglish
Title of host publicationProceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB'04
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-8
Number of pages8
ISBN (Print)0780387287, 9780780387287
Publication statusPublished - 2004
Externally publishedYes
EventProceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB'04 - La Jolla, CA, United States
Duration: 7 Oct 20048 Oct 2004

Other

OtherProceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB'04
CountryUnited States
CityLa Jolla, CA
Period7/10/048/10/04

    Fingerprint

Keywords

  • Cancer
  • Cluster analysis
  • Genetic regulatory networks
  • Robustness

Cite this

Hallinan, J. S. (2004). Cluster analysis of the p53 genetic regulatory network: topology and biology. In Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB'04 (pp. 1-8). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE).