Table 8 Comparison of GraphIdn model with previous models on the independent test set
From: Identification of plant vacuole proteins by using graph neural network and contact maps
Model | Acc (%) | Sn (%) | Sp (%) | MCC | ROC-AUC |
|---|---|---|---|---|---|
VacPred-DPC | 80.41 | 82.43 | 78.38 | 0.610 | 0.840 |
VacPred-PSSM | 86.49 | 90.54 | 82.43 | 0.730 | 0.930 |
iPVP-DRLF | 87.16 | 89.19 | 85.14 | 0.744 | 0.916 |
GraphIdn | 88.51 | 94.59 | 82.43 | 0.776 | 0.933 |