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Showing 1 - 20 results of 2,740 for search '(( algorithm both function ) OR ( algorithm npc function ))*', query time: 0.23s Refine Results
  1. 1
    Effective cluster radius from Ripley’s H-function for the NPC dataset.

    Effective cluster radius from Ripley’s H-function for the NPC dataset. by Daniel F. Nino (9745709)

    Published 2020
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  2. 2
    Meta-analysis of EBV GWAS of NPC.

    Meta-analysis of EBV GWAS of NPC. by Ka Wo Wong (18625847)

    Published 2024
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  3. 3
    Performance metrics of 28 and 9 SNPs in predicting NPC.

    Performance metrics of 28 and 9 SNPs in predicting NPC. by Ka Wo Wong (18625847)

    Published 2024
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  4. 4
    Loss function value changes in CNN training changes with epochs for both training dataset and testing dataset.

    Loss function value changes in CNN training changes with epochs for both training dataset and testing dataset. by Jiaxi Wang (545353)

    Published 2020
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  5. 5
    The Precision-Recall curve of both the models.

    The Precision-Recall curve of both the models. by Aastha Vatsyayan (9981916)

    Published 2024
    “…</p><p>Results</p><p>Using an independent validation dataset of ACMG & AMP classified variants, as well as a patient set of functionally validated variants, we showed how both algorithms perform and can be used to classify large numbers of variants in clinical as well as research settings.…”
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  6. 6
    Raw task performance on both experiments, with respect to conditions.

    Raw task performance on both experiments, with respect to conditions. by Anis Najar (9745561)

    Published 2020
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  7. 7
    Number of synonymous and non-synonymous variants in the EBV genome.

    Number of synonymous and non-synonymous variants in the EBV genome. by Ka Wo Wong (18625847)

    Published 2024
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  8. 8
    Percentage of genotype call missingness along the EBV genome.

    Percentage of genotype call missingness along the EBV genome. by Ka Wo Wong (18625847)

    Published 2024
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  9. 9
    Comparative analysis of EBV genomes in South China.

    Comparative analysis of EBV genomes in South China. by Ka Wo Wong (18625847)

    Published 2024
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  10. 10
    Characteristics of samples in this study.

    Characteristics of samples in this study. by Ka Wo Wong (18625847)

    Published 2024
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  11. 11
    Distribution of cases and controls in the nine clusters.

    Distribution of cases and controls in the nine clusters. by Ka Wo Wong (18625847)

    Published 2024
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  12. 12
    Number of samples carrying the nine high risk SNPs in each cluster.

    Number of samples carrying the nine high risk SNPs in each cluster. by Ka Wo Wong (18625847)

    Published 2024
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  13. 13
    Genotyping rate and sequencing depth of 507 EBV genomes.

    Genotyping rate and sequencing depth of 507 EBV genomes. by Ka Wo Wong (18625847)

    Published 2024
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  14. 14
    Degree of linkage disequilibrium against p-values of meta-analysis.

    Degree of linkage disequilibrium against p-values of meta-analysis. by Ka Wo Wong (18625847)

    Published 2024
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  15. 15
    Distribution of samples carrying the risk alleles identified previously.

    Distribution of samples carrying the risk alleles identified previously. by Ka Wo Wong (18625847)

    Published 2024
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  16. 16
    Logistic regression of disease states on haplotypes constructed from 56 variants that passed p-value threshold in the meta-analysis, with age and sex as covariates.

    Logistic regression of disease states on haplotypes constructed from 56 variants that passed p-value threshold in the meta-analysis, with age and sex as covariates. by Ka Wo Wong (18625847)

    Published 2024
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  17. 17
    Manhattan plot of conditional analyses.

    Manhattan plot of conditional analyses. by Ka Wo Wong (18625847)

    Published 2024
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  18. 18
    Characteristics of 507 samples included in the current meta-analysis.

    Characteristics of 507 samples included in the current meta-analysis. by Ka Wo Wong (18625847)

    Published 2024
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  19. 19
    Haplotype analysis of 56 variants that passed p-value cut-off in the meta-analysis.

    Haplotype analysis of 56 variants that passed p-value cut-off in the meta-analysis. by Ka Wo Wong (18625847)

    Published 2024
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  20. 20
    SNP profile characterizing high risk EBV lineage.

    SNP profile characterizing high risk EBV lineage. by Ka Wo Wong (18625847)

    Published 2024
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