Table 1 Performance assessment of in silico prediction tools on experimentally validated variants (n = 257).
Scoring metric | n Missing | Sensitivity | Specificity | Accuracy | PPV | NPV |
---|---|---|---|---|---|---|
HSF (2%) | 28 | 0.8941 | 0.3958 | 0.5808 | 0.4663 | 0.8636 |
SpliceAI (0.2) | 11 | 0.8987 | 0.9162 | 0.9106 | 0.8353 | 0.9503 |
Alamut SSF (5%) | 5 | 0.7317 | 0.9294 | 0.8651 | 0.8333 | 0.8778 |
Alamut MES (10%) | 1 | 0.7381 | 0.9070 | 0.8516 | 0.7949 | 0.8764 |
Alamut NNSplice (5%) | 11 | 0.6923 | 0.8631 | 0.8089 | 0.7013 | 0.8580 |
Alamut 2/3 | 14a | 0.7237 | 0.9162 | 0.8560 | 0.7971 | 0.8793 |