Best fit results using multifactor dimensionality reduction analysis of one-, two-, and three-locus models for KD susceptibility in patients and cohort controls.
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a Average testing balanced accuracy is the accuracy of classifications for cases and controls in the testing dataset (one-twentieth of the data) calculated as (Sensitivity+Specificity)/2. b Average cross validation consistency is the number of times the model was selected as the best model after 20 cross-validation runs. c Significance of accuracy (empirical p-value based on 10,000 permutations). ** p-value ≤ 0.05 Best fit results using multifactor dimensionality reduction analysis of one-, two-, and three-locus models for KD susceptibility in patients and cohort controls.
创建时间：
2015-11-30
