Performance of different models trained using different encoding schemes on the fivefold cross-validation test. Values in bold indicate the best performance
| RNA modification type . | Classifiers . | Sensitivity (%) . | Specificity (%) . | MCC . | AUROC . | AUROC01 . |
|---|---|---|---|---|---|---|
| m1A | CNNENAC | 82.97 | 90.00 | 0.563 | 0.928 | 0.0683 |
| CNNOne-hot | 81.45 | 90.00 | 0.553 | 0.930 | 0.0700 | |
| CNNRNA embedding | 75.89 | 90.00 | 0.517 | 0.912 | 0.0636 | |
| DeepPromise | 84.15 | 90.00 | 0.571 | 0.934 | 0.0710 | |
| RFENAC | 79.76 | 90.00 | 0.549 | 0.923 | 0.0672 | |
| RFOne-hot | 77.23 | 90.00 | 0.531 | 0.922 | 0.0650 | |
| RFRNA embedding | 74.53 | 90.00 | 0.586 | 0.910 | 0.0628 | |
| SVMENAC | 74.87 | 90.00 | 0.510 | 0.895 | 0.0582 | |
| SVMOne-hot | 64.56 | 90.00 | 0.240 | 0.838 | 0.0438 | |
| SVMRNA embedding | 70.66 | 90.00 | 0.482 | 0.889 | 0.0556 | |
| m6A | CNNENAC | 53.32 | 90.00 | 0.466 | 0.850 | 0.0338 |
| CNNOne-hot | 53.93 | 90.00 | 0.471 | 0.852 | 0.0342 | |
| CNNRNA embedding | 52.45 | 90.00 | 0.458 | 0.845 | 0.0328 | |
| DeepPromise | 54.87 | 90.00 | 0.479 | 0.857 | 0.0351 | |
| RFENAC | 30.47 | 90.00 | 0.260 | 0.714 | 0.0207 | |
| RFOne-hot | 22.88 | 90.00 | 0.179 | 0.650 | 0.0174 | |
| RFRNA embedding | 26.41 | 90.00 | 0.225 | 0.696 | 0.0167 | |
| SVMENAC | 28.39 | 90.00 | 0.233 | 0.697 | 0.0164 | |
| SVMOne-hot | 37.25 | 90.00 | 0.321 | 0.754 | 0.0223 | |
| SVMRNA embedding | 36.61 | 90.00 | 0.315 | 0.751 | 0.0218 |
| RNA modification type . | Classifiers . | Sensitivity (%) . | Specificity (%) . | MCC . | AUROC . | AUROC01 . |
|---|---|---|---|---|---|---|
| m1A | CNNENAC | 82.97 | 90.00 | 0.563 | 0.928 | 0.0683 |
| CNNOne-hot | 81.45 | 90.00 | 0.553 | 0.930 | 0.0700 | |
| CNNRNA embedding | 75.89 | 90.00 | 0.517 | 0.912 | 0.0636 | |
| DeepPromise | 84.15 | 90.00 | 0.571 | 0.934 | 0.0710 | |
| RFENAC | 79.76 | 90.00 | 0.549 | 0.923 | 0.0672 | |
| RFOne-hot | 77.23 | 90.00 | 0.531 | 0.922 | 0.0650 | |
| RFRNA embedding | 74.53 | 90.00 | 0.586 | 0.910 | 0.0628 | |
| SVMENAC | 74.87 | 90.00 | 0.510 | 0.895 | 0.0582 | |
| SVMOne-hot | 64.56 | 90.00 | 0.240 | 0.838 | 0.0438 | |
| SVMRNA embedding | 70.66 | 90.00 | 0.482 | 0.889 | 0.0556 | |
| m6A | CNNENAC | 53.32 | 90.00 | 0.466 | 0.850 | 0.0338 |
| CNNOne-hot | 53.93 | 90.00 | 0.471 | 0.852 | 0.0342 | |
| CNNRNA embedding | 52.45 | 90.00 | 0.458 | 0.845 | 0.0328 | |
| DeepPromise | 54.87 | 90.00 | 0.479 | 0.857 | 0.0351 | |
| RFENAC | 30.47 | 90.00 | 0.260 | 0.714 | 0.0207 | |
| RFOne-hot | 22.88 | 90.00 | 0.179 | 0.650 | 0.0174 | |
| RFRNA embedding | 26.41 | 90.00 | 0.225 | 0.696 | 0.0167 | |
| SVMENAC | 28.39 | 90.00 | 0.233 | 0.697 | 0.0164 | |
| SVMOne-hot | 37.25 | 90.00 | 0.321 | 0.754 | 0.0223 | |
| SVMRNA embedding | 36.61 | 90.00 | 0.315 | 0.751 | 0.0218 |
Performance of different models trained using different encoding schemes on the fivefold cross-validation test. Values in bold indicate the best performance
| RNA modification type . | Classifiers . | Sensitivity (%) . | Specificity (%) . | MCC . | AUROC . | AUROC01 . |
|---|---|---|---|---|---|---|
| m1A | CNNENAC | 82.97 | 90.00 | 0.563 | 0.928 | 0.0683 |
| CNNOne-hot | 81.45 | 90.00 | 0.553 | 0.930 | 0.0700 | |
| CNNRNA embedding | 75.89 | 90.00 | 0.517 | 0.912 | 0.0636 | |
| DeepPromise | 84.15 | 90.00 | 0.571 | 0.934 | 0.0710 | |
| RFENAC | 79.76 | 90.00 | 0.549 | 0.923 | 0.0672 | |
| RFOne-hot | 77.23 | 90.00 | 0.531 | 0.922 | 0.0650 | |
| RFRNA embedding | 74.53 | 90.00 | 0.586 | 0.910 | 0.0628 | |
| SVMENAC | 74.87 | 90.00 | 0.510 | 0.895 | 0.0582 | |
| SVMOne-hot | 64.56 | 90.00 | 0.240 | 0.838 | 0.0438 | |
| SVMRNA embedding | 70.66 | 90.00 | 0.482 | 0.889 | 0.0556 | |
| m6A | CNNENAC | 53.32 | 90.00 | 0.466 | 0.850 | 0.0338 |
| CNNOne-hot | 53.93 | 90.00 | 0.471 | 0.852 | 0.0342 | |
| CNNRNA embedding | 52.45 | 90.00 | 0.458 | 0.845 | 0.0328 | |
| DeepPromise | 54.87 | 90.00 | 0.479 | 0.857 | 0.0351 | |
| RFENAC | 30.47 | 90.00 | 0.260 | 0.714 | 0.0207 | |
| RFOne-hot | 22.88 | 90.00 | 0.179 | 0.650 | 0.0174 | |
| RFRNA embedding | 26.41 | 90.00 | 0.225 | 0.696 | 0.0167 | |
| SVMENAC | 28.39 | 90.00 | 0.233 | 0.697 | 0.0164 | |
| SVMOne-hot | 37.25 | 90.00 | 0.321 | 0.754 | 0.0223 | |
| SVMRNA embedding | 36.61 | 90.00 | 0.315 | 0.751 | 0.0218 |
| RNA modification type . | Classifiers . | Sensitivity (%) . | Specificity (%) . | MCC . | AUROC . | AUROC01 . |
|---|---|---|---|---|---|---|
| m1A | CNNENAC | 82.97 | 90.00 | 0.563 | 0.928 | 0.0683 |
| CNNOne-hot | 81.45 | 90.00 | 0.553 | 0.930 | 0.0700 | |
| CNNRNA embedding | 75.89 | 90.00 | 0.517 | 0.912 | 0.0636 | |
| DeepPromise | 84.15 | 90.00 | 0.571 | 0.934 | 0.0710 | |
| RFENAC | 79.76 | 90.00 | 0.549 | 0.923 | 0.0672 | |
| RFOne-hot | 77.23 | 90.00 | 0.531 | 0.922 | 0.0650 | |
| RFRNA embedding | 74.53 | 90.00 | 0.586 | 0.910 | 0.0628 | |
| SVMENAC | 74.87 | 90.00 | 0.510 | 0.895 | 0.0582 | |
| SVMOne-hot | 64.56 | 90.00 | 0.240 | 0.838 | 0.0438 | |
| SVMRNA embedding | 70.66 | 90.00 | 0.482 | 0.889 | 0.0556 | |
| m6A | CNNENAC | 53.32 | 90.00 | 0.466 | 0.850 | 0.0338 |
| CNNOne-hot | 53.93 | 90.00 | 0.471 | 0.852 | 0.0342 | |
| CNNRNA embedding | 52.45 | 90.00 | 0.458 | 0.845 | 0.0328 | |
| DeepPromise | 54.87 | 90.00 | 0.479 | 0.857 | 0.0351 | |
| RFENAC | 30.47 | 90.00 | 0.260 | 0.714 | 0.0207 | |
| RFOne-hot | 22.88 | 90.00 | 0.179 | 0.650 | 0.0174 | |
| RFRNA embedding | 26.41 | 90.00 | 0.225 | 0.696 | 0.0167 | |
| SVMENAC | 28.39 | 90.00 | 0.233 | 0.697 | 0.0164 | |
| SVMOne-hot | 37.25 | 90.00 | 0.321 | 0.754 | 0.0223 | |
| SVMRNA embedding | 36.61 | 90.00 | 0.315 | 0.751 | 0.0218 |
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