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Table 2 Performances of fivefold cross-validation for 18 targets using SVM

From: ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics

Target

Active compounds

Inactive compounds

Ratio (active/inactive compounds)

Sensitivity

Precision

Specificity

κ

PPARA

1955

1465

1.33

0.96

0.94

0.92

0.89

MMP2

2742

2363

1.16

0.96

0.96

0.96

0.92

MAOA

732

733

1.00

0.79

0.80

0.81

0.59

NR1I2

249

1090

0.23

0.82

0.73

0.93

0.72

TMPRSS15

139

724

0.19

0.43

0.54

0.93

0.39

HSD17B10

3410

11,510

0.30

0.41

0.40

0.82

0.23

KDM4E

3938

35,059

0.11

0.22

0.29

0.94

0.18

LMNA

14,533

171,164

0.09

0.49

0.13

0.72

0.10

TDP1

23,133

276,782

0.08

0.76

0.38

0.90

0.45

TARDBP

12,193

387,934

0.03

0.22

0.08

0.92

0.08

ALOX15

1932

69,362

0.03

0.49

0.12

0.90

0.16

BRCA1

8619

363,912

0.02

0.72

0.20

0.93

0.29

DRD2

4613

343,076

0.01

0.96

0.93

1.00

0.94

GSK3B

3334

300,186

0.01

0.85

0.72

1.00

0.78

JAK2

2158

213,915

0.01

0.85

0.81

1.00

0.83

POLK

773

389,418

0.002

0.55

0.17

0.99

0.26

FEN1

1050

381,575

0.003

0.35

0.03

0.96

0.04

HDAC3

369

311,425

0.001

0.98

0.76

1.00

0.86