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Nature Methods|February 18, 2014
Efficient multivariate linear mixed model algorithms for genome-wide association studiesXiang Zhou, Matthew StephensStatistica Sinica|December 27, 2023
UNIFYING AND GENERALIZING METHODS FOR REMOVING UNWANTED VARIATION BASED ON NEGATIVE CONTROLSDavid Gerard, Matthew StephensJournal of Machine Learning Research : JMLR|November 3, 2023
Empirical Bayes Matrix FactorizationWei Wang, Matthew StephensThe Annals of Applied Statistics|April 12, 2011
USING LINEAR PREDICTORS TO IMPUTE ALLELE FREQUENCIES FROM SUMMARY OR POOLED GENOTYPE DATAXiaoquan Wen, Matthew StephensPlos Genetics|August 2, 2008
Linkage disequilibrium-based quality control for large-scale genetic studiesPaul Scheet, Matthew StephensJournal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|June 11, 2026
Empirical Bayes Covariance Decomposition, and a Solution to the Multiple Tuning Problem in Sparse PCAJoonsuk Kang, Matthew StephensNature Communications|October 21, 2018
Large-scale genome-wide enrichment analyses identify new trait-associated genes and pathways across 31 human phenotypesXiang Zhu, Matthew StephensBioinformatics (Oxford, England)|July 21, 2016
Variance adaptive shrinkage (vash): flexible empirical Bayes estimation of variancesMengyin Lu, Matthew StephensNature Genetics|June 19, 2012
Genome-wide efficient mixed-model analysis for association studiesXiang Zhou, Matthew StephensGenetics|January 6, 2004
Modeling linkage disequilibrium and identifying recombination hotspots using single-nucleotide polymorphism dataNa Li, Matthew StephensPageof 27