Interpreting tree ensemble machine learning models with endoR

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 yie...

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Detalles Bibliográficos
Autores principales: Ruaud, Albane, Pfister, Niklas, Ley, Ruth E., Youngblut, Nicholas D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797088/
https://www.ncbi.nlm.nih.gov/pubmed/36516158
http://dx.doi.org/10.1371/journal.pcbi.1010714

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797088/
https://www.ncbi.nlm.nih.gov/pubmed/36516158
http://dx.doi.org/10.1371/journal.pcbi.1010714

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