Article

Interpreting tree ensemble machine learning models with endoR

2022-01-04

Abstract excerpt

<h4>Background</h4> Tree ensemble machine learning models are increasingly used in microbiome science as they are compatible with the compositional, high-dimensional, and sparse structure of sequence-based microbiome data. While such models are often good at predicting phenotypes based on microbiome data, they only yield limited insights into how microbial taxa or genomic content may be associated. <h4>Results:</...

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Literature Corpus work: 0517f017-16ab-57aa-aa39-3c5f5aa2e283
DOI: 10.1101/2022.01.03.474763

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