Table 6 Comparison of the state-of-the-art methods on AIP dataset
From: Antimicrobial peptide identification using multi-scale convolutional network
Model | SENS (%) | SPEC (%) | ACC (%) | MCC | auROC (%) | P value |
|---|---|---|---|---|---|---|
DNN | 59.05 | 73.61 | 67.78 | 0.3273 | 71.12 | < 0.001 |
proposed model | 55.24 | 84.9 | 73.02 | 0.4245 | 76.8 | < 0.001 |
AIPpred | 75.8 | 71.11 | 73.4 | 0.46 | 80.1 | < 0.001 |
fusion model with DNN | 51.67 | 79.81 | 68.54 | 0.3285 | 71.23 | < 0.001 |
proposed fusion model | 60 | 83.15 | 73.88 | 0.4459 | 78.34 | < 0.001 |