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Table 5 Performances of prediction algorithms related to validated interactions in Table 4

From: MiRNATIP: a SOM-based miRNA-target interactions predictor

Algorithm

ACC %

PPV %

TPR %

TNR %

FNR %

FPR %

F1 %

MCC

PITA

5.3

99.3

5.0

88.6

94.9

11.4

9.6

–0.01617

MiRanda

25.5

99.5

25.4

59.3

74.5

40.6

40.5

–0.01946

TargetScan

11.4

99.3

11.2

78.0

88.8

21.9

20.0

–0.01912

Pictar

7.1

99.1

6.9

81.3

93.1

18.7

12.9

–0.02581

DIANA-microT

20.1

99.5

19.9

74.0

80.0

26.0

33.2

–0.00847

miRNATIP

30.6

99.7

30.5

69.9

69.4

30.1

46.7

0.00055

  1. Statistical measures reported in this table are accuracy (ACC), precision (PPV), sensitivity (TPR), specificity (TNR), miss-rate (FPR), F1-measure (F1) and Matthews correlation (MCC), respectively