Table 2 The performances of different methods on test dataset I
From: Class similarity network for coding and long non-coding RNA classification
Method | Sp (%) | Sn (%) | Acc (%) | Pre | F1-score |
|---|---|---|---|---|---|
mRNN | 95.22 | 96.50 | 95.38 | 0.7399 | 0.8376 |
LncRNAnet | 97.83 | 95.79 | 97.57 | 0.8616 | 0.9070 |
RNAsamba | 94.06 | 98.16 | 94.56 | 0.6996 | 0.8169 |
LncFinder | 96.03 | 96.21 | 96.05 | 0.7735 | 0.8576 |
CPPred | 96.02 | 95.46 | 95.95 | 0.7718 | 0.8534 |
DeepCPP | \({\underline{98.44}}\) | \({\underline{96.47}}\) | \({\underline{98.19}}\) | \({\underline{0.8969}}\) | \({\underline{0.9294}}\) |
Class Similarity Network | 98.91 | 95.05 | 98.43 | 0.9247 | 0.9374 |