Comparison of empirical power and Type-1 error rates of gene-based association tests in simulated datasets for moderate linkage disequilibrium.
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DSL denotes the number of disease susceptibility markers. Machine learning test is based on ensemble learning variation 1 with the following components: logistic regression, support vector machine with linear kernel and random forests with mtry = 1 and ntree = 1000. Comparison of empirical power and Type-1 error rates of gene-based association tests in simulated datasets for moderate linkage disequilibrium.
创建时间：
2015-11-30
