Table 3 Prediction results of different methods on Gottlieb dataset
From: Hybrid attentional memory network for computational drug repositioning
Method name | AUC | AUPR | HR@1 (%) | HR@5 (%) | HR@10 (%) |
|---|---|---|---|---|---|
HAMN | 0.946 | 0.385 | 51.5 | 66 | 76.3 |
ANMF | 0.938 | 0.347 | 47.9 | 61.3 | 74.2 |
BNNR | 0.932 | 0.315 | 50.2 | 64.7 | 75.9 |
DRRS | 0.93 | 0.292 | 45.9 | 53.1 | 72.7 |
HGBI | 0.829 | 0.16 | 33 | 45.4 | 59.3 |