Table 7 Performance of PlantNh-Kcr for different plants
From: PlantNh-Kcr: a deep learning model for predicting non-histone crotonylation sites in plants
Species | Sn (%) | Sp (%) | ACC (%) | F1-score (%) | MCC (%) | AUC (%) |
|---|---|---|---|---|---|---|
Wheat | 73.4 ± 3.94 | 81.9 ± 2.19 | 79.8 ± 0.76 | 64.2 ± 0.80 | 51.3 ± 0.93 | 85.8 ± 0.32 |
Tabacum | 79.0 ± 4.16 | 84.5 ± 1.98 | 83.1 ± 0.81 | 69.7 ± 1.22 | 59.1 ± 1.67 | 89.6 ± 0.46 |
Rice | 87.2 ± 2.18 | 78.2 ± 2.32 | 79.6 ± 1.68 | 57.8 ± 1.65 | 51.3 ± 1.69 | 89.0 ± 0.49 |
Peanut | 87.9 ± 2.54 | 84.0 ± 2.17 | 84.7 ± 1.31 | 68.3 ± 1.29 | 61.5 ± 1.21 | 93.0 ± 0.21 |
Papaya | 81.1 ± 3.58 | 85.5 ± 1.94 | 84.6 ± 0.81 | 69.2 ± 0.57 | 60.4 ± 0.75 | 91.4 ± 0.30 |