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Table 2 Comparison of model performance on the same benchmark datasets

From: Deep neural networks for human microRNA precursor detection

Model

hsa

Pseudo

This workCNN

96

88

This workRNN

90

92

AverageDT

97

93

ConsensusNB

86

86

ConsensusDT

99

90

DingNB

88

84

AverageNB

83

89

NgDT

89

89

Consensus

97

96

BatuwitaNB

86

83

BentwichNB

92

71

NgNB

86

81

  1. Note: Prediction results (percentage) of this work (rows 2–3) and the top ten models (rows 4–13) of the izMiR framework [19]. The values presented were true prediction rates (%) (TPR) achieved for each model and dataset. Pseudo: negative data, from the coding region of human RefSeq genes, 8492 hairpins; hsa: positive data, Homo sapiens miRNAs, 1881 sequences