Search Results for author:
Found 2 papers, 1 papers with code
Identifying Gene-environment interactions with robust marginal Bayesian variable selection
In this study, we propose a novel marginal Bayesian variable selection method for G$\times$E studies.
Variable Selection
Methodology
Semi-parametric Bayesian variable selection for gene-environment interactions
Existing Bayesian methods for G$\times$E interaction studies are challenged by the high-dimensional nature of the study and the complexity of environmental influences.
Methodology
