From: SigUNet: signal peptide recognition based on semantic segmentation
Method | MCC (%) | FPRTM (%) | Precision (%) | Recall (%) | F1 measure (%) |
---|---|---|---|---|---|
The SignalP dataset | |||||
 Phobius | 81.1 | 15.3 | 77.6 | 95.2 | 85.5 |
 PrediSi | 56.1 | 52.6 | 52.0 | 91.3 | 66.3 |
 SignalP3.0-HMM | 75.9 | 23.5 | 69.5 | 97.4 | 81.1 |
 SignalP3.0-NN | 56.2 | 64.1 | 48.4 | 98.8 | 65.0 |
 PolyPhobius | 80.6 | 12.5 | 79.5 | 91.9 | 85.2 |
 Philius | 80.4 | 13.4 | 77.8 | 93.7 | 85.0 |
 SPOCTOPUS | 80.1 | 14.0 | 79.0 | 91.7 | 84.9 |
 SignalP 4.0 | 87.4 | 6.1 | – | – | – |
 TOPCONS2 | 84.6 | 9.6 | 83.6 | 93.6 | 88.3 |
 DeepSig | 87.2 | 4.2 | 92.5 | 87.8 | 90.1 |
 SigUNet | 90.2 | 4.0 | 93.0 | 92.1 | 92.5 |
The SPDS17 dataset | |||||
 Phobius | 65.8 | 9.6 | 47.8 | 95.7 | 63.8 |
 PrediSi | 38.5 | 43.3 | 20.7 | 89.1 | 33.6 |
 SignalP3.0-HMM | 51.6 | 22.3 | 31.2 | 95.7 | 47.1 |
 SignalP3.0-NN | 36.0 | 59.1 | 17.5 | 95.7 | 29.5 |
 PolyPhobius | 72.0 | 8.0 | 56.4 | 95.7 | 71.0 |
 Philius | 62.3 | 6.5 | 44.3 | 93.5 | 60.1 |
 SPOCTOPUS | 54.0 | 16.4 | 37.9 | 84.8 | 52.3 |
 SignalP 4.0 | 81.9 | 4.0 | 75.0 | 91.3 | 82.3 |
 TOPCONS2 | 73.9 | 5.6 | 60.6 | 93.5 | 73.5 |
 DeepSig | 86.1 | 2.5 | 82.4 | 91.3 | 86.6 |
 SigUNet | 89.6 | 1.2 | 91.1 | 89.1 | 90.1 |