Research Article
Identifying and Classifying Enhancers by Dinucleotide-Based Auto-Cross Covariance and Attention-Based Bi-LSTM
Table 1
The independent test performance comparison of this model with other models.
| | Method | ACC (%) | SN (%) | SP (%) | MCC |
| | Enhancer identification | | EnhancerPred | 74.00 | 73.50 | 74.50 | 0.4800 | | iEnhancer-2L | 73.00 | 71.00 | 75.00 | 0.4604 | | iEnhancer-EL | 74.75 | 71.00 | 78.50 | 0.4964 | | Enhancer-5Step | 79.00 | 82.00 | 76.00 | 0.5800 | | Tan et al. | 75.50 | 75.50 | 76.00 | 0.5100 | | iEnhancer-ECNN | 76.90 | 78.50 | 75.20 | 0.5370 | | iEnhancer-CNN | 77.50 | 78.25 | 79.00 | 0.5850 | | Our method | 77.25 | 77.30 | 77.20 | 0.5470 | | Enhancer classification | | EnhancerPred | 55.00 | 45.00 | 65.00 | 0.1021 | | iEnhancer-2L | 60.50 | 47.00 | 74.00 | 0.2181 | | iEnhancer-EL | 78.03 | 54.00 | 68.00 | 0.2222 | | Enhancer-5Step | 63.50 | 74.00 | 53.00 | 0.2800 | | Tan et al. | 68.49 | 83.15 | 45.61 | 0.3120 | | iEnhancer-ECNN | 67.80 | 79.10 | 56.40 | 0.3680 | | iEnhancer-CNN | 75.00 | 65.25 | 76.10 | 0.3232 | | Our method | 73.50 | 87.00 | 60.00 | 0.4881 |
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