An integrative bioinformatics approach for identifying subtypes and subtype-specific drivers in cancer

Peikai Chen, Y. S. Hung, Yubo Fan, Stephen T C Wong

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

1 Scopus citations

Abstract

Cancer is a complex disease and within a cancer, subtypes of patients with distinct behaviors often exist. The subtypes might have been caused by different hits, such as copy number aberrations (CNAs) and point mutations, on different pathways/cells-of-origin in a common tissue/organ. Identifying the subtypes with subtype-specific drivers, i.e., hits, is key to the understanding of cancer and development of novel treatments.

Original languageEnglish (US)
Title of host publication2012 IEEE Symposium on Computational Intelligence and Computational Biology, CIBCB 2012
Pages169-176
Number of pages8
DOIs
StatePublished - 2012
Event2012 IEEE Symposium on Computational Intelligence and Computational Biology, CIBCB 2012 - San Diego, CA, United States
Duration: May 9 2012May 12 2012

Publication series

Name2012 IEEE Symposium on Computational Intelligence and Computational Biology, CIBCB 2012

Other

Other2012 IEEE Symposium on Computational Intelligence and Computational Biology, CIBCB 2012
CountryUnited States
CitySan Diego, CA
Period5/9/125/12/12

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'An integrative bioinformatics approach for identifying subtypes and subtype-specific drivers in cancer'. Together they form a unique fingerprint.

Cite this