A gene signature based method for identifying subtypes and subtype-specific drivers in cancer with an application to medulloblastoma

Peikai Chen, Y. S. Hung, Tsz Kwong Man, Ching C. Lau, Yubo Fan, Stephen T. Wong

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

1 Scopus citations

Abstract

Copy number aberrations (CNAs) are frequently found in cancer genomes and believed to be tumorigenic. Unfortunately, CNAs often occur in wide regions of the cancer genome that harbor a large number of genes, making it a challenge to identify the candidate cancer drivers. Further, subtypes of cancer may be characterized with distinct CNA patterns and hence have different drivers.

Original languageEnglish (US)
Title of host publication2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012
DOIs
StatePublished - 2012
Event2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012 - Las Vegas, NV, United States
Duration: Feb 23 2012Feb 25 2012

Publication series

Name2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012

Other

Other2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012
CountryUnited States
CityLas Vegas, NV
Period2/23/122/25/12

Keywords

  • cancer subtypes
  • copy number aberration (CNA)
  • driver identification
  • medulloblastoma

ASJC Scopus subject areas

  • Biomedical Engineering
  • Applied Mathematics

Fingerprint Dive into the research topics of 'A gene signature based method for identifying subtypes and subtype-specific drivers in cancer with an application to medulloblastoma'. Together they form a unique fingerprint.

Cite this