A new information-theoretic approach to detect gene-gene interactions in case-control studies

Xiangdong Zhou, Chun Chung Chan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Gene-gene interaction is an important factor to consider in selecting genes in genotype data or microarray expression data for association with diseases. However current definitions of gene-gene interaction are not very clear and accurate. An inequality is proved in this paper and a new definition of gene-gene interaction: conditional independence and redundancy based definition of gene-gene interaction (CIR), together with a definition of interaction group are proposed according to this inequality. A new algorithm to detect gene-gene interaction with order greater than two is also proposed based on these new definitions and a theorem. Experimental results show the usefulness of these new definitions and the effectiveness and efficiency of this new algorithm.
Original languageEnglish
Title of host publication2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015
PublisherIEEE
ISBN (Electronic)9781467379830
DOIs
Publication statusPublished - 28 Dec 2015
Event15th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2015 - Belgrade, Serbia
Duration: 2 Nov 20154 Nov 2015

Conference

Conference15th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2015
Country/TerritorySerbia
CityBelgrade
Period2/11/154/11/15

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science Applications
  • Biomedical Engineering
  • Health Informatics

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