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Practical issues in imputation-based association mapping.
Probabilistic segmentation and intensity estimation for microarray images.
A unified framework for association analysis with multiple related phenotypes.
Imputation-based analysis of association studies: candidate regions and quantitative traits.
A fast and flexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase.
A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation Signatures.
False discovery rates: a new deal.
Empirical Bayes shrinkage and false discovery rate estimation, allowing for unwanted variation.
Accurate genomic prediction of Coffea canephora in multiple environments using whole-genome statistical models.
Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics.