Table 1.
In silico tools | AUC (95% CI) | Cutoff | TP | FP | TN | FN | Sensitivity | Specificity |
---|---|---|---|---|---|---|---|---|
SpliceAI | 0.991 (0.980–1.002) | 0.02 | 148 | 2 | 62 | 2 | 0.987 | 0.969 |
SpliceRover | 0.944 (0.912–0.977) | 0.010746 | 149 | 8 | 56 | 9 | 0.943 | 0.875 |
SPiCE | 0.916 (0.879–0.954) | 0.04424 | 92 | 3 | 61 | 18 | 0.836 | 0.953 |
MES | 0.912 (0.878–0.946) | 0.063125 | 126 | 2 | 60 | 26 | 0.829 | 0.968 |
NNSplice | 0.895 (0.857–0.934) | 0 | 126 | 12 | 50 | 22 | 0.851 | 0.806 |
SSF | 0.889 (0.854–0.924) | 0 | 121 | 4 | 60 | 31 | 0.796 | 0.937 |
HSF | 0.782 (0.740–0.824) | 0 | 75 | 0 | 64 | 58 | 0.564 | 1 |
Abbreviations: AUC, area under the curve; TP, true positives; FP, false positives; TN, true negatives; FN, false negatives.