检索结果 - Matthew Stephens

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  1. 1
    A Unified Framework for Association Analysis with Multiple Related Phenotypes

    A Unified Framework for Association Analysis with Multiple Related Phenotypes 由 Matthew Stephens

    出版 2013
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  2. 2
    Scalable Variational Inference for Bayesian Variable Selection in Regression, and Its Accuracy in Genetic Association Studies

    Scalable Variational Inference for Bayesian Variable Selection in Regression, and Its Accuracy in Genetic Association Studies 由 Peter Carbonetto, Matthew Stephens

    出版 2012
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  3. 3
    Efficient multivariate linear mixed model algorithms for genome-wide association studies

    Efficient multivariate linear mixed model algorithms for genome-wide association studies 由 Xiang Zhou, Matthew Stephens

    出版 2014
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  4. 4
    Modeling Linkage Disequilibrium and Identifying Recombination Hotspots Using Single-Nucleotide Polymorphism Data

    Modeling Linkage Disequilibrium and Identifying Recombination Hotspots Using Single-Nucleotide Polymorphism Data 由 Na Li, Matthew Stephens

    出版 2003
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  5. 5
    Interpreting principal component analyses of spatial population genetic variation

    Interpreting principal component analyses of spatial population genetic variation 由 John Novembre, Matthew Stephens

    出版 2008
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  6. 6
    Genome-wide efficient mixed-model analysis for association studies

    Genome-wide efficient mixed-model analysis for association studies 由 Xiang Zhou, Matthew Stephens

    出版 2012
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  7. 7
    Bayesian methods for genetic association analysis with heterogeneous subgroups: From meta-analyses to gene–environment interactions

    Bayesian methods for genetic association analysis with heterogeneous subgroups: From meta-analyses to gene–environment interactions 由 Xiaoquan Wen, Matthew Stephens

    出版 2014
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  8. 8
    Accounting for Decay of Linkage Disequilibrium in Haplotype Inference and Missing-Data Imputation

    Accounting for Decay of Linkage Disequilibrium in Haplotype Inference and Missing-Data Imputation 由 Matthew Stephens, Paul Scheet

    出版 2005
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  9. 9
    Imputation-Based Analysis of Association Studies: Candidate Regions and Quantitative Traits

    Imputation-Based Analysis of Association Studies: Candidate Regions and Quantitative Traits 由 Bertrand Servin, Matthew Stephens

    出版 2007
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  10. 10
    Integrated Enrichment Analysis of Variants and Pathways in Genome-Wide Association Studies Indicates Central Role for IL-2 Signaling Genes in Type 1 Diabetes, and Cytokine Signaling Genes in Crohn's Disease

    Integrated Enrichment Analysis of Variants and Pathways in Genome-Wide Association Studies Indicates Central Role for IL-2 Signaling Genes in Type 1 Diabetes, and Cytokine Signalin... 由 Peter Carbonetto, Matthew Stephens

    出版 2013
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  11. 11
    Practical Issues in Imputation-Based Association Mapping

    Practical Issues in Imputation-Based Association Mapping 由 Yongtao Guan, Matthew Stephens

    出版 2008
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  12. 12
    A Comparison of Bayesian Methods for Haplotype Reconstruction from Population Genotype Data

    A Comparison of Bayesian Methods for Haplotype Reconstruction from Population Genotype Data 由 Matthew Stephens, Peter Donnelly

    出版 2003
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  13. 13
    A Fast and Flexible Statistical Model for Large-Scale Population Genotype Data: Applications to Inferring Missing Genotypes and Haplotypic Phase

    A Fast and Flexible Statistical Model for Large-Scale Population Genotype Data: Applications to Inferring Missing Genotypes and Haplotypic Phase 由 Paul Scheet, Matthew Stephens

    出版 2006
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  14. 14
    Large-scale genome-wide enrichment analyses identify new trait-associated genes and pathways across 31 human phenotypes

    Large-scale genome-wide enrichment analyses identify new trait-associated genes and pathways across 31 human phenotypes 由 Xiang Zhu, Matthew Stephens

    出版 2018
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  15. 15
    Bayesian large-scale multiple regression with summary statistics from genome-wide association studies

    Bayesian large-scale multiple regression with summary statistics from genome-wide association studies 由 Xiang Zhu, Matthew Stephens

    出版 2017
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  16. 16
    Bayesian variable selection regression for genome-wide association studies and other large-scale problems

    Bayesian variable selection regression for genome-wide association studies and other large-scale problems 由 Yongtao Guan, Matthew Stephens

    出版 2011
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  17. 17
    Using linear predictors to impute allele frequencies from summary or pooled genotype data

    Using linear predictors to impute allele frequencies from summary or pooled genotype data 由 Xiaoquan Wen, Matthew Stephens

    出版 2010
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  18. 18
    Separating measurement and expression models clarifies confusion in single-cell RNA sequencing analysis

    Separating measurement and expression models clarifies confusion in single-cell RNA sequencing analysis 由 Abhishek Sarkar, Matthew Stephens

    出版 2021
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  19. 19
    Analysis of Population Structure: A Unifying Framework and Novel Methods Based on Sparse Factor Analysis

    Analysis of Population Structure: A Unifying Framework and Novel Methods Based on Sparse Factor Analysis 由 Barbara E. Engelhardt, Matthew Stephens

    出版 2010
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  20. 20
    Genotype Imputation with Thousands of Genomes

    Genotype Imputation with Thousands of Genomes 由 Bryan Howie, Jonathan Marchini, Matthew Stephens

    出版 2011
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