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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.
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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