Overview of KernelBiome.

Abstract

We start from a paired dataset with a compositional predictor X and a response Y and optional prior knowledge on the relation between components in the compositions (e.g., via a phylogenetic tree). We then select a model among a large class of kernels which best fits the data. This results in an estimated model and embedding . Finally, these can be analyzed while accounting for the compositional structure.</p