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Table 5 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 Sigmoid 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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