From: SigUNet: signal peptide recognition based on semantic segmentation
Method | MCC (%) | FPRTM (%) | Precision (%) | Recall (%) | F1 measure (%) |
---|---|---|---|---|---|
The SignalP dataset | |||||
 Phobius | 67.7 | 20.5 | 60.0 | 87.5 | 71.2 |
 PrediSi | 40.9 | 54.7 | 35.0 | 75.0 | 47.7 |
 SignalP3.0-HMM | 55.8 | 43.6 | 44.3 | 89.6 | 59.3 |
 SignalP3.0-NN | 47.2 | 56.4 | 34.9 | 91.7 | 50.6 |
 PolyPhobius | 71.1 | 16.2 | 66.1 | 85.4 | 74.5 |
 Philius | 69.6 | 15.4 | 64.1 | 85.4 | 73.2 |
 SPOCTOPUS | 73.9 | 15.4 | 67.2 | 89.6 | 76.8 |
 SignalP 4.0 | 85.1 | 2.6 | – | – | – |
 TOPCONS2 | 81.6 | 6.8 | 80.8 | 87.5 | 84.0 |
 DeepSig | 73.9 | 6.8 | 81.4 | 72.9 | 76.9 |
 SigUNet | 76.1 | 5.1 | 85.4 | 72.9 | 78.7 |
The SPDS17 dataset | |||||
 Phobius | 35.0 | 13.6 | 17.9 | 77.8 | 29.2 |
 PrediSi | 14.3 | 64.0 | 5.0 | 77.8 | 9.5 |
 SignalP3.0-HMM | 27.3 | 27.0 | 11.9 | 77.8 | 20.6 |
 SignalP3.0-NN | 16.1 | 45.5 | 5.7 | 77.8 | 10.7 |
 PolyPhobius | 34.5 | 13.2 | 17.5 | 77.8 | 28.6 |
 Philius | 30.3 | 79.0 | 16.2 | 66.7 | 26.1 |
 SPOCTOPUS | 30.3 | 13.8 | 16.2 | 66.7 | 26.1 |
 SignalP 4.0 | 50.3 | 0.0 | 40.0 | 66.7 | 50.0 |
 TOPCONS2 | 38.1 | 4.2 | 24.0 | 66.7 | 35.3 |
 DeepSig | 54.5 | 0.1 | 46.2 | 66.7 | 54.4 |
 SigUNet | 40.9 | 2.1 | 40.0 | 44.4 | 42.1 |