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.
Statistical Analysis with Missing Data
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.AP 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.