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http://dx.doi.org/10.7465/jkdi.2014.25.6.1385

Major gene identification for FASN gene in Korean cattles by data mining  

Kim, Byung-Doo (Department of liberal arts in engineering, Kyungil University)
Kim, Hyun-Ji (Department of Statistics, Yeungnam University)
Lee, Seong-Won (Department of Computer Engineering, Kyungwoon University)
Lee, Jea-Young (Department of Statistics, Yeungnam University)
Publication Information
Journal of the Korean Data and Information Science Society / v.25, no.6, 2014 , pp. 1385-1395 More about this Journal
Abstract
Economic traits of livestock are affected by environmental factors and genetic factors. In addition, it is not affected by one gene, but is affected by interaction of genes. We used a linear regression model in order to adjust environmental factors. And, in order to identify gene-gene interaction effect, we applied data mining techniques such as neural network, logistic regression, CART and C5.0 using five-SNPs (single nucleotide polymorphism) of FASN (fatty acid synthase). We divided total data into training (60%) and testing (40%) data, and applied the model which was designed by training data to testing data. By the comparison of prediction accuracy, C5.0 was identified as the best model. It were selected superior genotype using the decision tree.
Keywords
CART; data mining; fatty acid synthase; single nucleotide polymorphism;
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