Table 6 The performance of data augmentation on the SignalP dataset
From: SigUNet: signal peptide recognition based on semantic segmentation
Comp | Eukaryotes | Gram-positive | Gram-negative | |||
|---|---|---|---|---|---|---|
Train | MCC (%) | FPRTM (%) | MCC (%) | FPRTM (%) | MCC (%) | FPRTM (%) |
SigUNet | ||||||
 As compa | 90.2 | 4.0 | 76.1 | 5.1 | 80.6 | 1.5 |
 All organismsb | 89.9 | 3.2 | 80.9 | 3.1 | 82.1 | 3.6 |
 Bacteriac | – | – | 79.3 | 1.9 | 83.5 | 0.3 |
SigUNet-light | ||||||
 As comp | 89.4 | 4.3 | 77.7 | 5.1 | 82.9 | 1.9 |
 All organisms | 88.9 | 3.9 | 82.5 | 3.1 | 81.4 | 3.5 |
 Bacteria | – | – | 80.2 | 1.9 | 83.9 | 2.7 |