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Table 7 The performance of data augmentation on the SPDS17 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 89.6 1.2 40.9 2.1 97.6 1.1
 All organismsb 89.2 2.2 46.1 1.6 100.0 0.0
 Bacteriac 49.5 1.1 97.6 1.1
SigUNet-light
 As comp 84.8 3.7 51.7 1.6 92.8 1.1
 All organisms 89.1 2.2 43.3 1.6 100.0 0.0
 Bacteria 49.5 1.1 100.0 0.0
  1. aThe model is trained using the same organism as the comparison dataset. bThe model is trained using all organisms. cThe model is trained using all of the bacteria data. The best performance is highlighted in bold