Table 8.
Identifying enhancers (First layer) and their strengths (Second layer) in the independent test datasets compared to other existing methods
| Stages | Method | Acc(%) | Sn(%) | Sp(%) | MCC |
|---|---|---|---|---|---|
| First layer | iEnhancer-2L | 73.00 | 75.00 | 71.00 | 0.4604 |
| EnhancerPred | 74.00 | 73.50 | 74.50 | 0.4800 | |
| iEnhancer-EL | 74.75 | 71.00 | 78.50 | 0.4964 | |
| iEnhancer-ECNN | 76.90 | 78.50 | 75.20 | 0.5370 | |
| iEnhancer-XG | 75.75 | 74.00 | 77.50 | 0.5150 | |
| iEnhancer-EBLSTM | 77.20 | 75.50 | 79.50 | 0.5340 | |
| iEnhancer-DCLA | 78.25 | 78.00 | 78.50 | 0.5650 | |
| Second layer | iEnhancer-2L | 60.50 | 47.00 | 74.00 | 0.2181 |
| EnhancerPred | 55.00 | 45.00 | 65.00 | 0.1021 | |
| iEnhancer-EL | 61.00 | 54.00 | 68.00 | 0.2222 | |
| iEnhancer-ECNN | 67.80 | 79.10 | 56.40 | 0.3680 | |
| iEnhancer-XG | 63.50 | 70.00 | 57.00 | 0.2720 | |
| iEnhancer-EBLSTM | 65.80 | 81.20 | 53.60 | 0.3240 | |
| iEnhancer-DCLA | 78.00 | 87.00 | 69.00 | 0.5693 |
The highest value achieved on each metric is marked in bold