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Genetic Epidemiology|March 31, 2016
JAM: A Scalable Bayesian Framework for Joint Analysis of Marginal SNP EffectsPaul J Newcombe, David V Conti, Sylvia RichardsonStatistics in Medicine|June 22, 2021
Bayesian variable selection with a pleiotropic loss function in Mendelian randomizationApostolos Gkatzionis, Stephen Burgess, David V Conti, et al.American Journal of Epidemiology|January 6, 2021
A Hierarchical Approach Using Marginal Summary Statistics for Multiple Intermediates in a Mendelian Randomization or Transcriptome AnalysisLai Jiang, Shujing Xu, Nicholas Mancuso, et al.Genetic Epidemiology|April 12, 2024
Hierarchical joint analysis of marginal summary statistics-Part I: Multipopulation fine mapping and credible set constructionJiayi Shen, Lai Jiang, Kan Wang, et al.Plos Genetics|March 26, 2016
Insight into Genotype-Phenotype Associations through eQTL Mapping in Multiple Cell Types in Health and Immune-Mediated DiseaseJames E Peters, Paul A Lyons, James C Lee, et al.Human Heredity|September 1, 2016
Accuracy of Gene Scores when Pruning Markers by Linkage DisequilibriumFrank Dudbridge, Paul J NewcombeGenome Biology|April 13, 2007
Statistical tools for synthesizing lists of differentially expressed features in related experimentsMarta Blangiardo, Sylvia RichardsonJournal of Statistical Planning and Inference|June 23, 2016
Exploring dependence between categorical variables: Benefits and limitations of using variable selection within Bayesian clustering in relation to log-linear modelling with interaction termsMichail Papathomas, Sylvia RichardsonBioinformatics (Oxford, England)|February 4, 2006
Detection of gene copy number changes in CGH microarrays using a spatially correlated mixture modelPhilippe Broët, Sylvia RichardsonBioinformatics Advances|December 28, 2023
StabJGL: a stability approach to sparsity and similarity selection in multiple-network reconstructionCamilla Lingjærde, Sylvia RichardsonPageof 46