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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...
| Autores principales: | , , , , , |
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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/PMC10597446/ https://www.ncbi.nlm.nih.gov/pubmed/37615431 http://dx.doi.org/10.1128/msphere.00336-23 |