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author:

Zhou, X. (Zhou, X..) [1] | Chan, K.C.C. (Chan, K.C.C..) [2]

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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.

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

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2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015

Year: 2015

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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