Decision Tree Ensembles Utilizing Multivariate Splits Are Effective at Investigating Beta Diversity in Medically Relevant 16S Amplicon Sequencing Data

Developing an understanding of how microbial communities vary across conditions is an important analytical step. We used 16S rRNA data isolated from human stool samples to investigate whether learned dissimilarities, such as those produced using unsupervised decision tree ensembles, can be used to i...

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Detalles Bibliográficos
Autores principales: Rudar, Josip, Golding, G. Brian, Kremer, Stefan C., Hajibabaei, Mehrdad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100742/
https://www.ncbi.nlm.nih.gov/pubmed/36877086
http://dx.doi.org/10.1128/spectrum.02065-22

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100742/
https://www.ncbi.nlm.nih.gov/pubmed/36877086
http://dx.doi.org/10.1128/spectrum.02065-22

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