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author:

Zhou, Xiangdong (Zhou, Xiangdong.) [1] (Scholars:周向东) | Chan, Keith C.C. (Chan, Keith C.C..) [2]

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EI 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. © 2015 IEEE.

Keyword:

Association reactions Bioinformatics Genes Information theory

Community:

  • [ 1 ] [Zhou, Xiangdong]Dept. of Computing, Hong Kong Polytechnic University, Hong Kong
  • [ 2 ] [Zhou, Xiangdong]College of Mathematics and Computer Science, Fuzhou University, Fujian, China
  • [ 3 ] [Chan, Keith C.C.]Dept. of Computing, Hong Kong Polytechnic University, Hong Kong

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Year: 2015

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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