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 language | English |
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| Title of host publication | Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB'04 |
| Place of Publication | Piscataway, NJ |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 1-8 |
| Number of pages | 8 |
| ISBN (Print) | 0780387287, 9780780387287 |
| Publication status | Published - 2004 |
| Externally published | Yes |
| Event | Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB'04 - La Jolla, CA, United States Duration: 7 Oct 2004 → 8 Oct 2004 |
Other
| Other | Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB'04 |
|---|---|
| Country/Territory | United States |
| City | La Jolla, CA |
| Period | 7/10/04 → 8/10/04 |
Keywords
- Cancer
- Cluster analysis
- Genetic regulatory networks
- Robustness