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Table 4 Performance comparison between TEC-miTarget, miRAW, DeepMirTar, miTAR, and GraphTar on the miRAW dataset

From: TEC-miTarget: enhancing microRNA target prediction based on deep learning of ribonucleic acid sequences

 

Accuracy (%)

Sensitivity (%)

Specificity (%)

PPV (%)

NPV (%)

F1 score (%)

miRAW test set

      

miRAW

93.50

93.50

93.80

93.50

93.20

93.50

DeepMirTar

87.50

87.50

87.50

87.67

87.33

87.59

miTAR

93.94

93.94

93.94

94.03

93.85

93.98

GraphTar

94.80

94.80

94.80

94.87

94.72

94.83

TEC-miTarget

96.47

95.85

97.10

97.06

95.90

96.45

miRAW independent test set

      

miRAW

91.30

93.10

36.30

97.80

15.00

95.40

DeepMirTar

86.54

86.55

86.53

87.02

86.04

86.78

miTAR

93.79

93.81

93.76

94.01

93.55

93.91

GraphTar

94.28

94.26

94.29

94.52

94.02

94.39

TEC-miTarget

95.71

94.08

97.42

97.44

94.03

95.73

  1. The bold font indicates the best performance