Table 5 Performance comparison with the state-of-the-art method
From: DEEPSEN: a convolutional neural network based method for super-enhancer prediction
| Method | Precision | Recall | F1-score | AUC |
|---|---|---|---|---|
| Improse | 0.88 | 0.81 | 0.84 | 0.97 |
| DEEPSEN | 0.92 | 0.88 | 0.90 | 0.97 |
From: DEEPSEN: a convolutional neural network based method for super-enhancer prediction
| Method | Precision | Recall | F1-score | AUC |
|---|---|---|---|---|
| Improse | 0.88 | 0.81 | 0.84 | 0.97 |
| DEEPSEN | 0.92 | 0.88 | 0.90 | 0.97 |
