| Configuration: CI-SpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, CI-SpliceAI benchmark variant set (1,316 variants) (Fortier et al. Table 1)
Dataset: CI-SpliceAI benchmark variant set (1,316 variants) | 0.907 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 CI-SpliceAI benchmark variant set (1,316 variants) rna-splicing-20261011-fortier2026-protocol-ci-spliceai-benchmark Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 1, row 'CI-SpliceAI', column 'Balanced Accuracy' |
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| Configuration: CI-SpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, CI-SpliceAI benchmark variant set (1,316 variants) (Fortier et al. Table 1)
Dataset: CI-SpliceAI benchmark variant set (1,316 variants) | 0.899 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 CI-SpliceAI benchmark variant set (1,316 variants) rna-splicing-20261011-fortier2026-protocol-ci-spliceai-benchmark Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 1, row 'CI-SpliceAI', column 'F1' |
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| Configuration: CI-SpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, CI-SpliceAI benchmark variant set (1,316 variants) (Fortier et al. Table 1)
Dataset: CI-SpliceAI benchmark variant set (1,316 variants) | 0.837 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 CI-SpliceAI benchmark variant set (1,316 variants) rna-splicing-20261011-fortier2026-protocol-ci-spliceai-benchmark Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 1, row 'CI-SpliceAI', column 'Sensitivity' |
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| Configuration: CI-SpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, CI-SpliceAI benchmark variant set (1,316 variants) (Fortier et al. Table 1)
Dataset: CI-SpliceAI benchmark variant set (1,316 variants) | 0.976 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 CI-SpliceAI benchmark variant set (1,316 variants) rna-splicing-20261011-fortier2026-protocol-ci-spliceai-benchmark Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 1, row 'CI-SpliceAI', column 'Specificity' |
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| Configuration: Legacy Ensemble (Fortier et al. 2026) | Protocol: Splice-altering variant classification, CI-SpliceAI benchmark variant set (1,316 variants) (Fortier et al. Table 1)
Dataset: CI-SpliceAI benchmark variant set (1,316 variants) | 0.785 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 CI-SpliceAI benchmark variant set (1,316 variants) rna-splicing-20261011-fortier2026-protocol-ci-spliceai-benchmark Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 1, row 'Legacy Ensemble', column 'Balanced Accuracy' |
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| Configuration: Legacy Ensemble (Fortier et al. 2026) | Protocol: Splice-altering variant classification, CI-SpliceAI benchmark variant set (1,316 variants) (Fortier et al. Table 1)
Dataset: CI-SpliceAI benchmark variant set (1,316 variants) | 0.772 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 CI-SpliceAI benchmark variant set (1,316 variants) rna-splicing-20261011-fortier2026-protocol-ci-spliceai-benchmark Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 1, row 'Legacy Ensemble', column 'F1' |
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| Configuration: Legacy Ensemble (Fortier et al. 2026) | Protocol: Splice-altering variant classification, CI-SpliceAI benchmark variant set (1,316 variants) (Fortier et al. Table 1)
Dataset: CI-SpliceAI benchmark variant set (1,316 variants) | 0.73 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 CI-SpliceAI benchmark variant set (1,316 variants) rna-splicing-20261011-fortier2026-protocol-ci-spliceai-benchmark Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 1, row 'Legacy Ensemble', column 'Sensitivity' |
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| Configuration: Legacy Ensemble (Fortier et al. 2026) | Protocol: Splice-altering variant classification, CI-SpliceAI benchmark variant set (1,316 variants) (Fortier et al. Table 1)
Dataset: CI-SpliceAI benchmark variant set (1,316 variants) | 0.84 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 CI-SpliceAI benchmark variant set (1,316 variants) rna-splicing-20261011-fortier2026-protocol-ci-spliceai-benchmark Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 1, row 'Legacy Ensemble', column 'Specificity' |
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| Configuration: OpenSpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, CI-SpliceAI benchmark variant set (1,316 variants) (Fortier et al. Table 1)
Dataset: CI-SpliceAI benchmark variant set (1,316 variants) | 0.895 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 CI-SpliceAI benchmark variant set (1,316 variants) rna-splicing-20261011-fortier2026-protocol-ci-spliceai-benchmark Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 1, row 'OpenSpliceAI', column 'Balanced Accuracy' |
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| Configuration: OpenSpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, CI-SpliceAI benchmark variant set (1,316 variants) (Fortier et al. Table 1)
Dataset: CI-SpliceAI benchmark variant set (1,316 variants) | 0.886 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 CI-SpliceAI benchmark variant set (1,316 variants) rna-splicing-20261011-fortier2026-protocol-ci-spliceai-benchmark Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 1, row 'OpenSpliceAI', column 'F1' |
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| Configuration: OpenSpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, CI-SpliceAI benchmark variant set (1,316 variants) (Fortier et al. Table 1)
Dataset: CI-SpliceAI benchmark variant set (1,316 variants) | 0.816 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 CI-SpliceAI benchmark variant set (1,316 variants) rna-splicing-20261011-fortier2026-protocol-ci-spliceai-benchmark Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 1, row 'OpenSpliceAI', column 'Sensitivity' |
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| Configuration: OpenSpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, CI-SpliceAI benchmark variant set (1,316 variants) (Fortier et al. Table 1)
Dataset: CI-SpliceAI benchmark variant set (1,316 variants) | 0.975 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 CI-SpliceAI benchmark variant set (1,316 variants) rna-splicing-20261011-fortier2026-protocol-ci-spliceai-benchmark Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 1, row 'OpenSpliceAI', column 'Specificity' |
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| Configuration: SpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, CI-SpliceAI benchmark variant set (1,316 variants) (Fortier et al. Table 1)
Dataset: CI-SpliceAI benchmark variant set (1,316 variants) | 0.898 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 CI-SpliceAI benchmark variant set (1,316 variants) rna-splicing-20261011-fortier2026-protocol-ci-spliceai-benchmark Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 1, row 'SpliceAI', column 'Balanced Accuracy' |
|---|
| Configuration: SpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, CI-SpliceAI benchmark variant set (1,316 variants) (Fortier et al. Table 1)
Dataset: CI-SpliceAI benchmark variant set (1,316 variants) | 0.891 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 CI-SpliceAI benchmark variant set (1,316 variants) rna-splicing-20261011-fortier2026-protocol-ci-spliceai-benchmark Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 1, row 'SpliceAI', column 'F1' |
|---|
| Configuration: SpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, CI-SpliceAI benchmark variant set (1,316 variants) (Fortier et al. Table 1)
Dataset: CI-SpliceAI benchmark variant set (1,316 variants) | 0.84 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 CI-SpliceAI benchmark variant set (1,316 variants) rna-splicing-20261011-fortier2026-protocol-ci-spliceai-benchmark Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 1, row 'SpliceAI', column 'Sensitivity' |
|---|
| Configuration: SpliceAI (Fortier et al. 2026) | Protocol: Splice-altering variant classification, CI-SpliceAI benchmark variant set (1,316 variants) (Fortier et al. Table 1)
Dataset: CI-SpliceAI benchmark variant set (1,316 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 | Independent external evaluation · Source checkedMethods, coverage and sourceSpliceAI on the CI-SpliceAI benchmark variant set (1,316 variants) rna-splicing-20261011-fortier2026-protocol-ci-spliceai-benchmark Aggregation: Not reported Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 1, row 'SpliceAI', column 'Specificity' |
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