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Table 2 Comparative analysis between results of the proposed method and other studies using 5-fold cross-validation

From: iPseU-NCP: Identifying RNA pseudouridine sites using random forest and NCP-encoded features

Dataset

Model

ACC (%)

SN (%)

SP (%)

MCC

Method

H_990

iRNA-PseU

60.40

61.01

59.80

0.21

Chen et al., 2016

 

PseUI

64.24

64.85

63.64

0.28

He et al., 2018

 

iPseU-CNN

66.68

65.00

68.78

0.34

Tahir et al., 2019

 

iPseU-NCP

62.92

58.79

65.05

0.24

Ours

S_628

iRNA-PseU

64.49

64.65

64.33

0.29

Chen et al., 2016

 

PseUI

65.13

62.74

67.52

0.30

He et al., 2018

 

iPseU-CNN

68.15

66.36

70.45

0.37

Tahir et al., 2019

 

iPseU-NCP

69.59

77.07

62.10

0.40

Ours

M_944

iRNA-PseU

69.07

73.31

64.83

0.38

Chen et al., 2016

 

PseUI

70.44

79.87

70.34

0.41

He et al., 2018

 

iPseU-CNN

71.81

74.79

69.11

0.44

Tahir et al., 2019

 

iPseU-NCP

71.82

67.37

76.27

0.44

Ours

  1. Values which are significantly higher than the others are in bold. Data excerpted from [16]