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Power of Expanded Multifactor Dimensionality Reduction with CART Algorithm
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 Title & Authors
Power of Expanded Multifactor Dimensionality Reduction with CART Algorithm
Lee, Jea-Young; Lee, Jong-Hyeong; Lee, Ho-Guen;
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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).
CART algorithm;E-MDR;economic traits;power;
 Cited by
서포트 벡터 머신 알고리즘을 활용한 연속형 데이터의 다중인자 차원축소방법 적용,이제영;이종형;

Journal of the Korean Data and Information Science Society, 2010. vol.21. 6, pp.1271-1280
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