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Showing 1 - 20 results of 3,177 for search '(((( algorithms risk function ) OR ( algorithm npc function ))) OR ( algorithm python function ))', query time: 0.58s Refine Results
  1. 1
    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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  2. 2
    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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  3. 3
    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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  4. 4
    Genotypes of 38 SNPs that characterized the high-risk EBV lineage.

    Genotypes of 38 SNPs that characterized the high-risk EBV lineage. by Ka Wo Wong (18625847)

    Published 2024
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  5. 5
    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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  6. 6
    Number of samples in each cluster carrying the 9 SNPs shared by the high-risk lineage only.

    Number of samples in each cluster carrying the 9 SNPs shared by the high-risk lineage only. by Ka Wo Wong (18625847)

    Published 2024
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  7. 7
    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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  8. 8
    Listed python codes of our algorithm with explanations (Python 3.9 recommended).

    Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

    Published 2023
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  9. 9
    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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  10. 10
    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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  11. 11
    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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  12. 12
    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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  13. 13
    Characteristics of samples in this study.

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

    Published 2024
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  14. 14
    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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  15. 15
    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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  16. 16
    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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  17. 17
    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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  18. 18
    Manhattan plot of conditional analyses.

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

    Published 2024
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  19. 19
    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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  20. 20
    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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