A Bayesian sparse regression method integrates microbiome and metabolome data by modeling dual missingness mechanisms and compositional priors, with demonstrations on simulated data for imputation and predictor selection plus application to colorectal cancer samples.
Changes in gut microbiome taxonomic composition and their relationship to biosynthetic and metabolic pathways of b vitamins in children with multiple sclerosis
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Bayesian Sparse Regression for Microbiome-Metabolite Data Integration
A Bayesian sparse regression method integrates microbiome and metabolome data by modeling dual missingness mechanisms and compositional priors, with demonstrations on simulated data for imputation and predictor selection plus application to colorectal cancer samples.