Fig. 3

Predictive accuracy with microbiome clustering for the partial microbiota model. Predictive accuracy, defined as correlation between predicted and observed phenotypes for each analysis and trait, averaged over the three partitions, for each clustering approach: NONE, microbiota at the ASV level; ABUND, microbiota clustered by abundance; PHYLO, microbiota clustered by phylogeny. Results for IgG and γδ T cells are not shown since their prediction accuracy was not influenced by the microbiome (Fig. 1). Each dot corresponds to the prediction accuracy obtained with a different combination of statistical method and prior, averaged over the three partitions