| Configuration: CI-SpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, SPiP benchmark variant set (99,601 variants) (Fortier et al. Table 3)
Dataset: SPiP benchmark variant set (99,601 variants) | 0.798 Balanced accuracy (maximum delta score > 0.5 (Legacy Ensemble N > 1)) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceCI-SpliceAI on the SPiP benchmark variant set (99,601 variants) rna-splicing-20261011-fortier2026-protocol-spip Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 3, row 'CI-SpliceAI', column 'Balanced Accuracy' |
|---|
| Configuration: CI-SpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, SPiP benchmark variant set (99,601 variants) (Fortier et al. Table 3)
Dataset: SPiP benchmark variant set (99,601 variants) | 0.725 F1 (maximum delta score > 0.5 (Legacy Ensemble N > 1)) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceCI-SpliceAI on the SPiP benchmark variant set (99,601 variants) rna-splicing-20261011-fortier2026-protocol-spip Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 3, row 'CI-SpliceAI', column 'F1' |
|---|
| Configuration: CI-SpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, SPiP benchmark variant set (99,601 variants) (Fortier et al. Table 3)
Dataset: SPiP benchmark variant set (99,601 variants) | 0.596 Recall (maximum delta score > 0.5 (Legacy Ensemble N > 1)) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceCI-SpliceAI on the SPiP benchmark variant set (99,601 variants) rna-splicing-20261011-fortier2026-protocol-spip Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 3, row 'CI-SpliceAI', column 'Sensitivity' |
|---|
| Configuration: CI-SpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, SPiP benchmark variant set (99,601 variants) (Fortier et al. Table 3)
Dataset: SPiP benchmark variant set (99,601 variants) | 0.999 Specificity (maximum delta score > 0.5 (Legacy Ensemble N > 1)) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceCI-SpliceAI on the SPiP benchmark variant set (99,601 variants) rna-splicing-20261011-fortier2026-protocol-spip Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 3, row 'CI-SpliceAI', column 'Specificity' |
|---|
| Configuration: Legacy Ensemble (Fortier et al. 2026) | Protocol: Splice-altering variant classification, SPiP benchmark variant set (99,601 variants) (Fortier et al. Table 3)
Dataset: SPiP benchmark variant set (99,601 variants) | 0.752 Balanced accuracy (maximum delta score > 0.5 (Legacy Ensemble N > 1)) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLegacy Ensemble on the SPiP benchmark variant set (99,601 variants) rna-splicing-20261011-fortier2026-protocol-spip Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 3, row 'Legacy Ensemble', column 'Balanced Accuracy' |
|---|
| Configuration: Legacy Ensemble (Fortier et al. 2026) | Protocol: Splice-altering variant classification, SPiP benchmark variant set (99,601 variants) (Fortier et al. Table 3)
Dataset: SPiP benchmark variant set (99,601 variants) | 0.289 F1 (maximum delta score > 0.5 (Legacy Ensemble N > 1)) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLegacy Ensemble on the SPiP benchmark variant set (99,601 variants) rna-splicing-20261011-fortier2026-protocol-spip Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 3, row 'Legacy Ensemble', column 'F1' |
|---|
| Configuration: Legacy Ensemble (Fortier et al. 2026) | Protocol: Splice-altering variant classification, SPiP benchmark variant set (99,601 variants) (Fortier et al. Table 3)
Dataset: SPiP benchmark variant set (99,601 variants) | 0.547 Recall (maximum delta score > 0.5 (Legacy Ensemble N > 1)) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLegacy Ensemble on the SPiP benchmark variant set (99,601 variants) rna-splicing-20261011-fortier2026-protocol-spip Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 3, row 'Legacy Ensemble', column 'Sensitivity' |
|---|
| Configuration: Legacy Ensemble (Fortier et al. 2026) | Protocol: Splice-altering variant classification, SPiP benchmark variant set (99,601 variants) (Fortier et al. Table 3)
Dataset: SPiP benchmark variant set (99,601 variants) | 0.956 Specificity (maximum delta score > 0.5 (Legacy Ensemble N > 1)) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLegacy Ensemble on the SPiP benchmark variant set (99,601 variants) rna-splicing-20261011-fortier2026-protocol-spip Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 3, row 'Legacy Ensemble', column 'Specificity' |
|---|
| Configuration: OpenSpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, SPiP benchmark variant set (99,601 variants) (Fortier et al. Table 3)
Dataset: SPiP benchmark variant set (99,601 variants) | 0.797 Balanced accuracy (maximum delta score > 0.5 (Legacy Ensemble N > 1)) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceOpenSpliceAI on the SPiP benchmark variant set (99,601 variants) rna-splicing-20261011-fortier2026-protocol-spip Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 3, row 'OpenSpliceAI', column 'Balanced Accuracy' |
|---|
| Configuration: OpenSpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, SPiP benchmark variant set (99,601 variants) (Fortier et al. Table 3)
Dataset: SPiP benchmark variant set (99,601 variants) | 0.724 F1 (maximum delta score > 0.5 (Legacy Ensemble N > 1)) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceOpenSpliceAI on the SPiP benchmark variant set (99,601 variants) rna-splicing-20261011-fortier2026-protocol-spip Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 3, row 'OpenSpliceAI', column 'F1' |
|---|
| Configuration: OpenSpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, SPiP benchmark variant set (99,601 variants) (Fortier et al. Table 3)
Dataset: SPiP benchmark variant set (99,601 variants) | 0.595 Recall (maximum delta score > 0.5 (Legacy Ensemble N > 1)) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceOpenSpliceAI on the SPiP benchmark variant set (99,601 variants) rna-splicing-20261011-fortier2026-protocol-spip Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 3, row 'OpenSpliceAI', column 'Sensitivity' |
|---|
| Configuration: OpenSpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, SPiP benchmark variant set (99,601 variants) (Fortier et al. Table 3)
Dataset: SPiP benchmark variant set (99,601 variants) | 0.999 Specificity (maximum delta score > 0.5 (Legacy Ensemble N > 1)) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceOpenSpliceAI on the SPiP benchmark variant set (99,601 variants) rna-splicing-20261011-fortier2026-protocol-spip Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 3, row 'OpenSpliceAI', column 'Specificity' |
|---|
| Configuration: SpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, SPiP benchmark variant set (99,601 variants) (Fortier et al. Table 3)
Dataset: SPiP benchmark variant set (99,601 variants) | 0.803 Balanced accuracy (maximum delta score > 0.5 (Legacy Ensemble N > 1)) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on the SPiP benchmark variant set (99,601 variants) rna-splicing-20261011-fortier2026-protocol-spip Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 3, row 'SpliceAI', column 'Balanced Accuracy' |
|---|
| Configuration: SpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, SPiP benchmark variant set (99,601 variants) (Fortier et al. Table 3)
Dataset: SPiP benchmark variant set (99,601 variants) | 0.739 F1 (maximum delta score > 0.5 (Legacy Ensemble N > 1)) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on the SPiP benchmark variant set (99,601 variants) rna-splicing-20261011-fortier2026-protocol-spip Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 3, row 'SpliceAI', column 'F1' |
|---|
| Configuration: SpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, SPiP benchmark variant set (99,601 variants) (Fortier et al. Table 3)
Dataset: SPiP benchmark variant set (99,601 variants) | 0.607 Recall (maximum delta score > 0.5 (Legacy Ensemble N > 1)) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on the SPiP benchmark variant set (99,601 variants) rna-splicing-20261011-fortier2026-protocol-spip Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 3, row 'SpliceAI', column 'Sensitivity' |
|---|
| Configuration: SpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, SPiP benchmark variant set (99,601 variants) (Fortier et al. Table 3)
Dataset: SPiP benchmark variant set (99,601 variants) | 0.999 Specificity (maximum delta score > 0.5 (Legacy Ensemble N > 1)) fraction · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on the SPiP benchmark variant set (99,601 variants) rna-splicing-20261011-fortier2026-protocol-spip Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 3, row 'SpliceAI', column 'Specificity' |
|---|