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Table 3 The result information of 12 optimal feature genes in limma package analysis

From: Construction of genetic classification model for coronary atherosclerosis heart disease using three machine learning methods

Gene symbol

GSE12288

GSE7638

GSE66360

Integrated dataset

Foldchange

Adjusted p

Foldchange

Adjusted p

Foldchange

Adjusted p

Foldchange

Adjusted p

BCL6

1.07

2.36E−01

1.20

7.07E−03

2.86

2.93E−09

1.27

1.34E−06

CA12

1.05

4.18E−04

1.06

1.99E−03

1.00

9.94E−01

1.08

6.80E−05

CAMK2B

0.88

1.02E−22

0.95

4.57E−02

1.02

8.29E−01

0.90

3.94E−12

CNGB1

0.89

2.72E−08

0.93

1.39E−02

0.83

4.21E−02

0.88

1.22E−09

DDC

0.90

1.03E−17

0.92

6.26E−03

1.00

9.87E−01

0.88

7.23E−12

DERL1

1.03

1.91E−01

1.29

4.81E−19

0.88

4.74E−01

1.17

3.29E−06

HCK

1.07

1.67E−01

1.16

5.43E−06

2.09

1.10E−03

1.28

9.15E−07

HTR4

1.11

4.11E−10

1.00

9.68E−01

1.09

4.12E−01

1.10

8.22E−06

KISS1

0.78

3.49E−22

0.90

3.42E−02

0.92

2.26E−01

0.84

1.05E−15

KLK2

1.08

5.39E−09

1.06

3.58E−02

0.88

1.69E−01

1.09

3.93E−05

LILRA2

1.04

3.88E−01

1.19

1.74E−06

2.22

7.91E−06

1.25

2.60E−07

MTF2

1.07

1.17E−04

1.27

1.02E−08

0.81

1.22E−01

1.15

3.07E−06

  1. Integrated dataset was the combination of GSE12288, GSE7638 and GSE66360; foldchange, the fold change of the average gene expressional level going from control group to case group; adjusted P, the P value adjusted by Benjamini–Hochberg in comparing the gene expressional level between case group and control group