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Table 3 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 X458 0.002744632
3 X961 0.01519576
4 X704 0.01878017
5 X519 0.03505115
6 X100 0.0374225
7 X989 0.03831268
8 X216 0.04014865
9 X365 0.04285033
10 X1100 0.04807944
  1. A subset of SNPs is selected by employing non‐linear SVM in the Feature Selection Algorithm. Here we have used Polynomial Kernel to map the set of SNPs from a low dimension to a high dimension.