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Table 4 Results of 10-fold cross validation with datasets of virus-host PPIs using different combinations of features

From: A generalized approach to predicting protein-protein interactions between virus and host

Features

SN(%)

SP(%)

ACC(%)

PPV(%)

NPV(%)

MCC

AUC

RFAT

82.85

84.04

83.45

83.84

83.05

0.668

0.903

FDAT

68.34

57.84

63.11

61.86

64.65

0.264

0.689

AC

59.85

68.11

63.98

65.24

62.92

0.281

0.698

Composition

71.79

55.79

63.79

61.89

66.42

0.279

0.685

Transition

74.05

55.72

64.88

62.58

68.23

0.302

0.713

Distribution

71.79

31.55

51.67

51.19

52.80

0.036

0.515

RFAT+FDAT+AC

84.73

85.62

85.18

85.49

84.86

0.703

0.920

Composition+Transition +Distribution

76.51

61.72

69.12

66.65

72.43

0.386

0.787

All 6 features

85.36

85.92

85.64

85.84

85.44

0.712

0.925

  1. SN: sensitivity, SP: specificity, ACC: accuracy, PPV: positive predictive value, NPV: negative predictive value, MCC: Matthews correlation coefficient, AUC: area under the ROC