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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...
Autores principales: | Rudar, Josip, Golding, G. Brian, Kremer, Stefan C., Hajibabaei, Mehrdad |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2023
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Materias: | |
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 |
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