Clustering gene expression data using coxian phase-type survival

Adele H. Marshall, Laura A. Hill

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

Abstract

The paper is concerned with modeling gene expression data of Acute Myeloid Leukemia patients and their survival. Of particular interest is the development of a clustering approach that will identify clusters of patients that have similar gene expression characteristics. This paper considers one such approach based on the Coxian phase-type distribution which proved to be an adequate representation for the patient survival distribution. If such an approach were introduced it would facilitate better patient management and hence allow the most suitable care plan for the different clusters of patients. This will not only have financial benefit but will provide a better quality of service to the patient who will no longer have to undergo ineffective treatments that may have damaging side effects.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Intelligent Systems, IS 2010 - Proceedings
Pages179-184
Number of pages6
DOIs
Publication statusPublished - 18 Oct 2010
Event2010 IEEE International Conference on Intelligent Systems, IS 2010 - London, United Kingdom
Duration: 07 Jul 201009 Jul 2010

Publication series

Name2010 IEEE International Conference on Intelligent Systems, IS 2010 - Proceedings

Conference

Conference2010 IEEE International Conference on Intelligent Systems, IS 2010
CountryUnited Kingdom
CityLondon
Period07/07/201009/07/2010

Keywords

  • Bioinformatics
  • Clustering
  • Coxian phase-type distributions
  • Gene expression data
  • Intelligent patient management
  • Survival analysis

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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