Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/67503
Title: A new information-theoretic approach to detect gene-gene interactions in case-control studies
Authors: Zhou, X
Chan, KCC 
Keywords: Random variables
Diseases
Redundancy
Algorithm design and analysis
Computational modeling
Mutual information
Genomics
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers
Source: 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE), Belgrade, Serbia, 2-4 Nov 2015, p.1-5 How to cite?
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.
URI: http://hdl.handle.net/10397/67503
ISBN: 978-1-4673-7983-0 (electronic)
978-1-4673-7982-3 (USB)
978-1-4673-7984-7 (print on demand(PoD))
DOI: 10.1109/BIBE.2015.7367739
Appears in Collections:Conference Paper

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