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Support vector machine and multifactor dimensionality reduction for detecting major gene interactions of continuous data  

Lee, Jea-Young (Department of Statistics, Yeungnam University)
Lee, Jong-Hyeong (Department of Statistics, Yeungnam University)
Publication Information
Journal of the Korean Data and Information Science Society / v.21, no.6, 2010 , pp. 1271-1280 More about this Journal
Abstract
We have used multifactor dimensionality reduction (MDR) method to study genegene interaction effect of statistical model in general. But, MDR method could not be applied in the continuous data. In this paper, continuous-type data by the support vector machine (SVM) algorithm are proposed to the MDR method which provides an introduction to the technique. Also we apply the method on the identify major interaction effects of single nucleotide polymorphisms (SNPs) responsible for economic traits in a Korean cattle population.
Keywords
Gene-gene interaction; MDR method; SNP; SVM algorithm;
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Times Cited By KSCI : 4  (Citation Analysis)
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