From: Predicting miRNA-disease associations based on graph attention network with multi-source information
Methods | ACC | F1 | AUPR | REC | PRE | SPEC | AUC |
---|---|---|---|---|---|---|---|
Combination 1 | 0.992 | 0.335 | 0.463 | 0.358 | 0.352 | 0.995 | 0.906 |
Combination 2 | 0.995 | 0.510 | 0.468 | 0.412 | 0.675 | 0.998 | 0.923 |
Combination 3 | 0.996 | 0.601 | 0.459 | 0.485 | 0.794 | 0.999 | 0.937 |
Combination 4 | 0.996 | 0.597 | 0.477 | 0.483 | 0.788 | 0.999 | 0.939 |
GATMDA | 0.996 | 0.606 | 0.477 | 0.498 | 0.781 | 0.999 | 0.956 |