Table 4 The performance on the Gram-negative datasets
From: SigUNet: signal peptide recognition based on semantic segmentation
Method | MCC (%) | FPRTM (%) | Precision (%) | Recall (%) | F1 measure (%) |
|---|---|---|---|---|---|
The SignalP dataset | |||||
 Phobius | 59.9 | 22.6 | 43.9 | 94.2 | 59.9 |
 PrediSi | 30.6 | 69.0 | 19.7 | 86.5 | 32.1 |
 SignalP3.0-HMM | 47.7 | 39.2 | 31.6 | 93.3 | 47.2 |
 SignalP3.0-NN | 36.7 | 61.0 | 22.1 | 95.2 | 35.9 |
 PolyPhobius | 60.7 | 21.4 | 45.0 | 94.2 | 60.9 |
 Philius | 65.9 | 14.9 | 51.3 | 94.2 | 66.4 |
 SPOCTOPUS | 64.7 | 17.0 | 50.8 | 92.3 | 65.5 |
 SignalP 4.0 | 84.8 | 1.5 | – | – | – |
 TOPCONS2 | 70.8 | 13.2 | 57.2 | 95.2 | 71.5 |
 DeepSig | 81.2 | 1.7 | 88.9 | 76.9 | 82.5 |
 SigUNet | 80.6 | 1.5 | 88.8 | 76.0 | 81.9 |
The SPDS17 dataset | |||||
 Phobius | 69.5 | 18.0 | 56.4 | 95.7 | 71.0 |
 PrediSi | 35.4 | 66.3 | 25.0 | 87.0 | 38.8 |
 SignalP3.0-HMM | 65.4 | 21.3 | 51.2 | 95.7 | 66.7 |
 SignalP3.0-NN | 49.1 | 44.9 | 33.8 | 95.7 | 50.0 |
 PolyPhobius | 75.9 | 13.5 | 62.2 | 100.0 | 76.7 |
 Philius | 88.7 | 2.2 | 84.6 | 95.7 | 89.8 |
 SPOCTOPUS | 62.5 | 20.2 | 50.0 | 91.3 | 64.6 |
 SignalP 4.0 | 92.5 | 0.0 | 100.0 | 87.0 | 93.0 |
 TOPCONS2 | 85.9 | 5.6 | 76.7 | 100.0 | 86.8 |
 DeepSig | 95.0 | 0.0 | 100.0 | 91.3 | 95.5 |
 SigUNet | 97.6 | 1.1 | 95.8 | 100.0 | 97.9 |