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Nature Computational Science|August 22, 2025
Exploiting pleiotropy to enhance variant discovery with functional false discovery ratesAndrew J Bass, Chris WallacePlos Genetics|April 21, 2020
Eliciting priors and relaxing the single causal variant assumption in colocalisation analysesChris WallacePlos Genetics|May 19, 2026
Correction: Eliciting priors and relaxing the single causal variant assumption in colocalisation analysesChris WallaceGenetic Epidemiology|November 15, 2013
Statistical testing of shared genetic control for potentially related traitsChris WallacePlos Genetics|September 29, 2021
A more accurate method for colocalisation analysis allowing for multiple causal variantsChris WallaceBioinformatics (Oxford, England)|August 21, 2020
The optimal discovery procedure for significance analysis of general gene expression studiesAndrew J Bass, John D StoreyBiometrical Journal. Biometrische Zeitschrift|March 8, 2021
Accurate error control in high-dimensional association testing using conditional false discovery ratesJames Liley, Chris WallaceBriefings in Bioinformatics|May 5, 2021
Comparison of sparse biclustering algorithms for gene expression datasetsKath Nicholls, Chris WallaceGenetic Epidemiology|November 26, 2003
Estimating the relative recurrence risk ratio using a global cross-ratio modelChris Wallace, David ClaytonPlos Genetics|February 7, 2015
A pleiotropy-informed Bayesian false discovery rate adapted to a shared control design finds new disease associations from GWAS summary statisticsJames Liley, Chris WallacePageof 15