Skip to main content

Table 3 Performance for evolutionary features on benchmark datasets by SVM

From: EL_PSSM-RT: DNA-binding residue prediction by integrating ensemble learning with PSSM Relation Transformation

Dataset

Methods

ACC (%)

MCC

SN (%)

SP (%)

ST (%)

AUC

PDNA-62

Ma et al.

72.23

0.26

59.45

74.48

66.96

0.734

Li et al.

77.32

0.40

72.00

78.27

75.14

0.821

PSSM-RT

76.45

0.43

80.23

75.80

78.02

0.845

PDNA-224

Ma et al.

76.88

0.18

50.59

78.87

64.73

0.723

Li et al.

79.18

0.29

67.21

80.09

73.65

0.813

PSSM-RT

80.39

0.31

68.11

81.32

74.72

0.826