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Publications by Katja Ickstadt
A Bayesian Regression Model With Variable Selection for Genome-Wide Association Studies
Wiley Series in Probability and Statistics
Explicit Inversive Congruential Pseudorandom Numbers With Power of Two Modulus
Mathematics of Computation
Computational Mathematics
Applied Mathematics
Number Theory
Algebra
Related publications
Application of Whole-Genome Prediction Methods for Genome-Wide Association Studies: A Bayesian Approach
Journal of Agricultural, Biological, and Environmental Statistics
Statistics
Probability
Environmental Science
Applied Mathematics
Uncertainty
Biological Sciences
Agricultural
Bayesian Model Selection for Genome-Wide Epistatic Quantitative Trait Loci Analysis
Genetics
Genetics
bNEAT: A Bayesian Network Method for Detecting Epistatic Interactions in Genome-Wide Association Studies
BMC Genomics
Biotechnology
Genetics
Remi: Regression With Marginal Information and Its Application in Genome-Wide Association Studies
Statistica Sinica
Uncertainty
Statistics
Probability
A Modified Forward Multiple Regression in High-Density Genome-Wide Association Studies for Complex Traits
Genetic Epidemiology
Epidemiology
Genetics
Imputing Phenotypes for Genome-Wide Association Studies
American Journal of Human Genetics
Genetics
LD Score Regression Distinguishes Confounding From Polygenicity in Genome-Wide Association Studies
Nature Genetics
Genetics
Genome-Wide Association Studies for Discrete Traits
Genetic Epidemiology
Epidemiology
Genetics
Genome-Wide Association Studies: A Powerful Tool for Neurogenomics
Neurosurgical Focus
Medicine
Surgery
Neurology