Table 1 GESPA pathogenicity classifier accuracy compared to other software using humsavar test set
From: GESPA: classifying nsSNPs to predict disease association
Software | Sensitivity (%)a | Specificity (%)b | Balanced accuracy (%)c | ROC Curve AUC |
|---|---|---|---|---|
GESPA (humsavar cross validation) | 96.41 | 79.49 | 87.95 | 0.936 |
GESPA (humvar training set) | 96.31 | 79.23 | 87.78 | 0.932 |
Polyphen 2 | 88.68 | 62.45 | 75.56 | 0.847 |
SIFT | 85.03 | 68.95 | 76.99 | 0.854 |
PROVEAN | 78.39 | 79.11 | 78.75 | 0.848 |
Mutation Assessor | 85.29 | 71.02 | 78.15 | 0.848 |