An investigation of gene-gene interactions in dose-response studies with Bayesian nonparametrics
Best practice for statistical methodology in cell-based dose-response studies has yet to be established. We examine the ability of MANOVA to detect trait-associated genetic loci in the presence of gene-gene interactions. We present a novel Bayesian nonparametric method designed to detect such interactions.
dose-response bayesian nonparametric epistasis neural network machine learning