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Table 4 Performance for all 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.

75.11

0.40

78.22

74.58

76.40

0.837

Li et al.

77.81

0.42

75.50

78.24

76.87

0.851

PSSM-RT

81.50

0.48

76.74

82.34

79.54

0.873

PDNA-224

Ma et al.

76.66

0.27

68.95

77.25

73.10

0.808

Li et al.

78.65

0.29

69.48

79.34

74.41

0.825

PSSM-RT

78.14

0.31

74.92

78.38

76.65

0.843

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BMC Bioinformatics

ISSN: 1471-2105

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