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Nature 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 StephensCell and Tissue Research|February 10, 2018
Neutrophil-lymphatic interactions during acute and chronic diseaseMatthew Stephens, Shan LiaoBiostatistics (Oxford, England)|July 10, 2018
Empirical Bayes shrinkage and false discovery rate estimation, allowing for unwanted variationDavid Gerard, Matthew StephensThe Annals of Applied Statistics|September 29, 2015
BAYESIAN METHODS FOR GENETIC ASSOCIATION ANALYSIS WITH HETEROGENEOUS SUBGROUPS: FROM META-ANALYSES TO GENE-ENVIRONMENT INTERACTIONSXiaoquan Wen, Matthew StephensThe Annals of Applied Statistics|February 6, 2018
BAYESIAN LARGE-SCALE MULTIPLE REGRESSION WITH SUMMARY STATISTICS FROM GENOME-WIDE ASSOCIATION STUDIESXiang Zhu, Matthew StephensThe Annals of Applied Statistics|February 6, 2018
WAVELET-BASED GENETIC ASSOCIATION ANALYSIS OF FUNCTIONAL PHENOTYPES ARISING FROM HIGH-THROUGHPUT SEQUENCING ASSAYSHeejung Shim, Matthew StephensNature Genetics|May 25, 2021
Separating measurement and expression models clarifies confusion in single-cell RNA sequencing analysisAbhishek Sarkar, Matthew StephensPageof 29