TABLE 5.
Comparison of EFMSDTI with other state-of-the-art methods for DTIs prediction.
| Model | AUROC | AUPR |
|---|---|---|
| EFMSDTI | 0.982 | 0.982 |
| NEDTP An and Yu, (2021) | 0.971 | 0.967 |
| deepDTnet Zeng et al. (2020) | 0.963 | 0.969 |
| NeoDTI Wan et al. (2018) | 0.97 | 0.91 |
| DTINet Luo et al. (2017) | 0.932 | 0.943 |