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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