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Table 7 Performance comparison with previous studies using a partial dataset.

From: ViralmiR: a support-vector-machine-based method for predicting viral microRNA precursors

Tool

Positive dataset/negative dataset

TP

TN

FP

FN

SN

SP

ACC

Balanced ACC

MCC

Triplet-SVM

 

44

171

18

19

69.84%

90.47%

85.32%

80.15%

0.61

MiPred

 

41

175

14

22

65.07%

92.59%

85.71%

78.83%

0.60

miPred

 

42

177

12

21

66.66%

93.65%

86.90%

80.16%

0.64

miR-KDE

63/189

39

176

13

24

61.90%

93.18%

85.31%

77.51%

0.59

microPred

 

48

159

30

15

76.54%

84.12%

82.14%

80.16%

0.56

MiRenSVM

 

45

161

28

18

71.45%

85.21%

81.75%

78.30%

0.54

miR-BAG

 

46

166

23

17

73.01%

87.83%

84.13%

80.42%

0.59

Our approach

 

50

164

25

13

79.36%

86.77%

84.92%

83.06%

0.63