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http://dx.doi.org/10.5351/CKSS.2011.18.4.413

A Comparison Study on SVM MDR and D-MDR for Detecting Gene-Gene Interaction in Continuous Data  

Lee, Jong-Hyeong (Department of Statistics, Yeungnam University)
Lee, Jea-Young (Department of Statistics, Yeungnam University)
Publication Information
Communications for Statistical Applications and Methods / v.18, no.4, 2011 , pp. 413-422 More about this Journal
Abstract
We have used a multifactor dimensionality reduction(MDR) method to study the major gene interaction effect in general; however, without application of the MDR method in continuous data. In light of this, many methods have been suggested such as Expanded MDR, Dummy MDR and SVM MDR. In this paper, we compare the two methods of SVM MDR and D-MDR. In addition, we identify the gene-gene interaction effect of single nucleotide polymorphisms(SNPs) associated with economic traits in Hanwoo(Korean cattle). Lastly, we discuss a new method in consideration of the advantages that the other methods present.
Keywords
Gene-gene interaction; MDR method; SNP; SVM algorithm; Dummy MDR; Multifactor Dimensionality Reduction(MDR); SVM;
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Times Cited By KSCI : 5  (Citation Analysis)
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