A genetic ensemble approach for gene-gene interaction identification |
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Authors: | Pengyi Yang Joshua WK Ho Albert Y Zomaya Bing B Zhou |
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Affiliation: | 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 |
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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. |
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