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.
Accounting for undetected compounds in statistical analyses of mass spectrometry ‘omic studies
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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.