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Machine learning classification by fitting amplicon sequences to existing OTUs

The ability to use 16S rRNA gene sequence data to train machine learning classification models offers the opportunity to diagnose patients based on the composition of their microbiome. In some applications, the taxonomic resolution that provides the best models may require the use of de novo operati...

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Detalles Bibliográficos
Autores principales:	Armour, Courtney R., Sovacool, Kelly L., Close, William L., Topçuoğlu, Begüm D., Wiens, Jenna, Schloss, Patrick D.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	American Society for Microbiology 2023
Materias:	Observation
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597446/ https://www.ncbi.nlm.nih.gov/pubmed/37615431 http://dx.doi.org/10.1128/msphere.00336-23

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