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http://dx.doi.org/10.5351/CKSS.2010.17.5.667

Power of Expanded Multifactor Dimensionality Reduction with CART Algorithm  

Lee, Jea-Young (Department of Statistics, Yeungnam University)
Lee, Jong-Hyeong (Department of Statistics, Yeungnam University)
Lee, Ho-Guen (Department of Statistics, Yeungnam University)
Publication Information
Communications for Statistical Applications and Methods / v.17, no.5, 2010 , pp. 667-678 More about this Journal
Abstract
It is important to detect the gene-gene interaction in GWAS(Genome-Wide Association Study). There are many studies about detecting gene-gene interaction. The one is Multifactor dimensionality reduction method. But MDR method is not applied continuous data and expanded multifactor dimensionality reduction(E-MDR) method is suggested. The goal of this study is to evaluate the power of E-MDR for identifying gene-gene interaction by simulation. Also we applied the method on the identify interaction e ects of single nucleotid polymorphisms(SNPs) responsible for economic traits in a Korean cattle population (real data).
Keywords
CART algorithm; E-MDR; economic traits; power;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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