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Table 4 Best 10 SNPs from the feature selection algorithm

From: Efficient techniques for genotype‐phenotype correlational analysis

Rank User defined SNP ID p‐value
1 X114 4.902156E‐4
2 X483 6.466061E‐4
3 X569 9.02912E‐4
4 X1033 0.002481348
5 X407 0.002598933
6 X1120 0.002646448
7 X709 0.002852061
8 X1200 0.003385855
9 X702 0.003590515
10 X178 0.00382676
  1. A subset of SNPs is selected by employing non‐linear SVM in the Feature Selection Algorithm. Here we have used GAUSSIAN RBF Kernel to map the set of SNPs from a low dimension to a high dimension.