Skip to main content

Table 4 Compare EMDLP model

From: EMDLP: Ensemble multiscale deep learning model for RNA methylation site prediction

Modification type

Classifiers

AUROC

Acc (%)

Sn (%)

Sp (%)

MCC (%)

Pre (%)

F1 (%)

AUPRC

m1A

EDLm6Apred

0.9494

95.06

64.91

98.07

68.10

77.08

70.47

0.7773

DeepPromise

0.9437

95.30

65.79

98.25

69.57

78.95

71.77

0.7893

DCBDeepPromise

0.9529

95.61

67.54

98.42

71.67

81.05

73.68

0.7809

EMDLP

0.9556

95.62

61.40

99.04

70.69

86.42

71.79

0.8044

m6A

EDLm6APred

0.8085

73.38

80.14

66.66

47.23

70.52

75.02

0.7905

DeepPromise

0.8476

77.07

82.15

45.00

54.43

74.79

78.30

0.8258

DCBDeepPromise

0.8501

76.76

81.89

44.95

53.81

74.19

77.85

0.8292

EMDLP

0.8524

76.98

84.36

69.64

54.58

73.44

78.52

0.8319

  1. The bolded values represent the best results