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Table 2 Performance comparison between psRNA-target, Target-align and p-TAREF.

From: Employing machine learning for reliable miRNA target identification in plants

 

psRNA target

Target-align

P-TAREF (polynomial kernel)

 

Beauclair et al.

ASRP

Beauclair et al.

ASRP

Beauclair et al.

ASRP

TP

81

119

64

103

104

262

FN

23

168

40

184

0

25

TN

119

119

119

119

119

119

FP

0

0

0

0

0

0

Sn

77.88

41.16

61.53

35.888

100

91.29

Sp

100

100

100

100

100

100

MCC

0.81

0.4146

0.678

0.4586

1

0.86

ACU%

89.68

58.620

82.06

50.800

100

93.84

  1. *TP = True Positive, FP = False positive, TN = True Negative, FN = False negative, Sn = sensitivity, Sp = Specificity, MCC = Mathew Correlation Coefficient; Ac = Accuracy.
  2. For experimentally validated targets, derived from two different sources, the tools were compared for performance. In the given table, p-TAREF was compared and found performing better than the compared tools for the given datasets. Performance related testing details are given in text, Additional File 1 as well as at server's performance page. The observed MCC value suggests about the robustness of model implemented in p-TAREF.