| Configuration: LIRICAL default, singleton (Yuan et al. 2022) | Protocol: Causal-gene rank in 305 DDD exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: DDD 305 solved probands (Yuan et al. selection) | 41% Top-1 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceLIRICAL default singleton on DDD 305 rare-ranking-20261009-protocol-yuan2022-ddd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 6 (DDD, LIRICAL), column 'TOP 1(%)' |
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| Configuration: LIRICAL default, singleton (Yuan et al. 2022) | Protocol: Causal-gene rank in 305 DDD exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: DDD 305 solved probands (Yuan et al. selection) | 83% Top-10 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceLIRICAL default singleton on DDD 305 rare-ranking-20261009-protocol-yuan2022-ddd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 6 (DDD, LIRICAL), column 'TOP 10(%)' |
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| Configuration: LIRICAL default, singleton (Yuan et al. 2022) | Protocol: Causal-gene rank in 305 DDD exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: DDD 305 solved probands (Yuan et al. selection) | 89.8% Top-20 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceLIRICAL default singleton on DDD 305 rare-ranking-20261009-protocol-yuan2022-ddd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 6 (DDD, LIRICAL), column 'TOP 20(%)' |
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| Configuration: LIRICAL default, singleton (Yuan et al. 2022) | Protocol: Causal-gene rank in 305 DDD exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: DDD 305 solved probands (Yuan et al. selection) | 94.4% Top-30 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceLIRICAL default singleton on DDD 305 rare-ranking-20261009-protocol-yuan2022-ddd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 6 (DDD, LIRICAL), column 'TOP 30(%)' |
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| Configuration: LIRICAL default, singleton (Yuan et al. 2022) | Protocol: Causal-gene rank in 305 DDD exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: DDD 305 solved probands (Yuan et al. selection) | 95.4% Top-40 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceLIRICAL default singleton on DDD 305 rare-ranking-20261009-protocol-yuan2022-ddd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 6 (DDD, LIRICAL), column 'TOP 40(%)' |
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| Configuration: LIRICAL default, singleton (Yuan et al. 2022) | Protocol: Causal-gene rank in 305 DDD exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: DDD 305 solved probands (Yuan et al. selection) | 70.8% Top-5 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceLIRICAL default singleton on DDD 305 rare-ranking-20261009-protocol-yuan2022-ddd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 6 (DDD, LIRICAL), column 'TOP 5(%)' |
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| Configuration: LIRICAL default, singleton (Yuan et al. 2022) | Protocol: Causal-gene rank in 305 DDD exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: DDD 305 solved probands (Yuan et al. selection) | 96.1% Top-50 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceLIRICAL default singleton on DDD 305 rare-ranking-20261009-protocol-yuan2022-ddd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 6 (DDD, LIRICAL), column 'TOP 50(%)' |
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| Configuration: LIRICAL default, singleton (Yuan et al. 2022) | Protocol: Causal-gene rank in 209 in-house exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: KingMed Changsha in-house cohort, 209 solved cases (Yuan et al. 2022) | 51.2% Top-1 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceLIRICAL default singleton on KMCGD 209 rare-ranking-20261009-protocol-yuan2022-kmcgd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 17 (KMCGD, LIRICAL), column 'TOP 1(%)' |
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| Configuration: LIRICAL default, singleton (Yuan et al. 2022) | Protocol: Causal-gene rank in 209 in-house exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: KingMed Changsha in-house cohort, 209 solved cases (Yuan et al. 2022) | 75.6% Top-10 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceLIRICAL default singleton on KMCGD 209 rare-ranking-20261009-protocol-yuan2022-kmcgd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 17 (KMCGD, LIRICAL), column 'TOP 10(%)' |
|---|
| Configuration: LIRICAL default, singleton (Yuan et al. 2022) | Protocol: Causal-gene rank in 209 in-house exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: KingMed Changsha in-house cohort, 209 solved cases (Yuan et al. 2022) | 84.2% Top-20 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceLIRICAL default singleton on KMCGD 209 rare-ranking-20261009-protocol-yuan2022-kmcgd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 17 (KMCGD, LIRICAL), column 'TOP 20(%)' |
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| Configuration: LIRICAL default, singleton (Yuan et al. 2022) | Protocol: Causal-gene rank in 209 in-house exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: KingMed Changsha in-house cohort, 209 solved cases (Yuan et al. 2022) | 86.6% Top-30 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceLIRICAL default singleton on KMCGD 209 rare-ranking-20261009-protocol-yuan2022-kmcgd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 17 (KMCGD, LIRICAL), column 'TOP 30(%)' |
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| Configuration: LIRICAL default, singleton (Yuan et al. 2022) | Protocol: Causal-gene rank in 209 in-house exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: KingMed Changsha in-house cohort, 209 solved cases (Yuan et al. 2022) | 88.5% Top-40 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceLIRICAL default singleton on KMCGD 209 rare-ranking-20261009-protocol-yuan2022-kmcgd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 17 (KMCGD, LIRICAL), column 'TOP 40(%)' |
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| Configuration: LIRICAL default, singleton (Yuan et al. 2022) | Protocol: Causal-gene rank in 209 in-house exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: KingMed Changsha in-house cohort, 209 solved cases (Yuan et al. 2022) | 68.9% Top-5 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceLIRICAL default singleton on KMCGD 209 rare-ranking-20261009-protocol-yuan2022-kmcgd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 17 (KMCGD, LIRICAL), column 'TOP 5(%)' |
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| Configuration: LIRICAL default, singleton (Yuan et al. 2022) | Protocol: Causal-gene rank in 209 in-house exomes, default singleton runs (Yuan et al. 2022 SM Table 3) Dataset: KingMed Changsha in-house cohort, 209 solved cases (Yuan et al. 2022) | 90.4% Top-50 accuracy (proportion of solved cases with the causal gene within the tool's top-ranked genes) percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceLIRICAL default singleton on KMCGD 209 rare-ranking-20261009-protocol-yuan2022-kmcgd-singleton-default Aggregation: Not reported Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases; Yuan et al. 2022, SM Table 3 (accuracy in each top level experiment) · SM Table 3 row 17 (KMCGD, LIRICAL), column 'TOP 50(%)' |
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