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A genetic ensemble approach for gene-gene interaction identification
Authors:Pengyi Yang  Joshua WK Ho  Albert Y Zomaya  Bing B Zhou
Institution:1.School of Information Technologies,University of Sydney,Australia;2.School of Mathematics and Statistics, University of Sydney,Australia;3.NICTA,Eveleigh,Australia;4.Centre for Distributed and High Performance Computing,University of Sydney,Australia
Abstract:

Background  

It has now become clear that gene-gene interactions and gene-environment interactions are ubiquitous and fundamental mechanisms for the development of complex diseases. Though a considerable effort has been put into developing statistical models and algorithmic strategies for identifying such interactions, the accurate identification of those genetic interactions has been proven to be very challenging.
Keywords:
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