Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis
Factor Augmented Inverse Regression and its Application to Microbiome Data Analysis
AbstractWe investigate the relationship between count data that inform the relative abundance of features of a composition, and factors that influence the composition. Our work is motivated from microbiome studies aiming to extract microbial signatures that are predictive of host phenotypes based on data collected from a group of individuals …