Title :
Cluster analysis of the p53 genetic regulatory network: topology and biology
Author :
Hallinan, Jennifer S.
Author_Institution :
Queensland Univ., St. Lucia, Qld., Australia
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;
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
DOI :
10.1109/CIBCB.2004.1393924
