| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set) | 70% accuracy percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 deep-intronic variants splicing-follow-up-20261009-protocol-riepe2021-abca4-di Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'NNSPLICE', column 'Accuracy (%)' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set) | 7 false-negative-count count · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 deep-intronic variants splicing-follow-up-20261009-protocol-riepe2021-abca4-di Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'NNSPLICE', column 'FN' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set) | 17 false-positive-count count · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 deep-intronic variants splicing-follow-up-20261009-protocol-riepe2021-abca4-di Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'NNSPLICE', column 'FP' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set) | 0.35 matthews-correlation-coefficient unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 deep-intronic variants splicing-follow-up-20261009-protocol-riepe2021-abca4-di Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'NNSPLICE', column 'MCC' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set) | 0 count count · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 deep-intronic variants splicing-follow-up-20261009-protocol-riepe2021-abca4-di Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'NNSPLICE', column 'Missing values' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set) | 86% negative-predictive-value percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 deep-intronic variants splicing-follow-up-20261009-protocol-riepe2021-abca4-di Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'NNSPLICE', column 'NPV (%)' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set) | 45% precision percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 deep-intronic variants splicing-follow-up-20261009-protocol-riepe2021-abca4-di Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'NNSPLICE', column 'PPV (%)' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set) | 67% recall percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 deep-intronic variants splicing-follow-up-20261009-protocol-riepe2021-abca4-di Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'NNSPLICE', column 'Sensitivity (%)' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set) | 72% specificity percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 deep-intronic variants splicing-follow-up-20261009-protocol-riepe2021-abca4-di Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'NNSPLICE', column 'Specificity (%)' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set) | 43 true-negative-count count · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 deep-intronic variants splicing-follow-up-20261009-protocol-riepe2021-abca4-di Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'NNSPLICE', column 'TN' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 deep-intronic variants: classification against mini- or midigene splicing results (Riepe et al. Table 4)
Dataset: ABCA4 deep-intronic variants (Riepe et al. benchmark set) | 14 true-positive-count count · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 deep-intronic variants splicing-follow-up-20261009-protocol-riepe2021-abca4-di Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 4 row 'NNSPLICE', column 'TP' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set) | 66% accuracy percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 noncanonical splice-site variants splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'NNSPLICE', column 'Accuracy (%)' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set) | 22 false-negative-count count · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 noncanonical splice-site variants splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'NNSPLICE', column 'FN' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set) | 2 false-positive-count count · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 noncanonical splice-site variants splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'NNSPLICE', column 'FP' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set) | 0.23 matthews-correlation-coefficient unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 noncanonical splice-site variants splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'NNSPLICE', column 'MCC' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set) | 0 count count · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 noncanonical splice-site variants splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'NNSPLICE', column 'Missing values' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set) | 19% negative-predictive-value percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 noncanonical splice-site variants splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'NNSPLICE', column 'NPV (%)' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set) | 95% precision percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 noncanonical splice-site variants splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'NNSPLICE', column 'PPV (%)' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set) | 66% recall percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 noncanonical splice-site variants splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'NNSPLICE', column 'Sensitivity (%)' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set) | 71% specificity percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 noncanonical splice-site variants splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'NNSPLICE', column 'Specificity (%)' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set) | 5 true-negative-count count · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 noncanonical splice-site variants splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'NNSPLICE', column 'TN' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: ABCA4 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 3)
Dataset: ABCA4 noncanonical splice-site variants (Riepe et al. benchmark set) | 42 true-positive-count count · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on ABCA4 noncanonical splice-site variants splicing-follow-up-20261009-protocol-riepe2021-abca4-ncss Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 3 row 'NNSPLICE', column 'TP' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: MYBPC3 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 5)
Dataset: MYBPC3 noncanonical splice-site variants (Riepe et al. benchmark set) | 72% accuracy percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on MYBPC3 noncanonical splice-site variants splicing-follow-up-20261009-protocol-riepe2021-mybpc3-ncss Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 5 row 'NNSPLICE', column 'Accuracy (%)' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: MYBPC3 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 5)
Dataset: MYBPC3 noncanonical splice-site variants (Riepe et al. benchmark set) | 11 false-negative-count count · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on MYBPC3 noncanonical splice-site variants splicing-follow-up-20261009-protocol-riepe2021-mybpc3-ncss Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 5 row 'NNSPLICE', column 'FN' |
|---|
| Configuration: NNSPLICE (Riepe et al. 2021) | Protocol: MYBPC3 noncanonical splice-site variants: classification against mini- or midigene splicing results (Riepe et al. Table 5)
Dataset: MYBPC3 noncanonical splice-site variants (Riepe et al. benchmark set) | 6 false-positive-count count · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNNSPLICE on MYBPC3 noncanonical splice-site variants splicing-follow-up-20261009-protocol-riepe2021-mybpc3-ncss Aggregation: Not reported Benchmarking deep learning splice prediction tools using functional splice assays · Table 5 row 'NNSPLICE', column 'FP' |
|---|