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The IFS curve for HIV-1-resistant and susceptible sample classification.

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posted on 2011-03-04, 01:12 authored by Tao Huang, Zhongping Xu, Lei Chen, Yu-Dong Cai, Xiangyin Kong

In the IFS curve, the x-axis is the number of genes used for classification, and the y-axis is the prediction accuracies of nearest neighbor algorithm evaluated by Leave-One-Out Cross-Validation (LOOCV). The peak accuracy was 0.852 with 185 genes. The top 185 genes in the mRMR gene list formed the optimal discriminative gene set.