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Microbiome Preprocessing Machine Learning Pipeline
BACKGROUND: 16S sequencing results are often used for Machine Learning (ML) tasks. 16S gene sequences are represented as feature counts, which are associated with taxonomic representation. Raw feature counts may not be the optimal representation for ML. METHODS: We checked multiple preprocessing ste...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8250139/ https://www.ncbi.nlm.nih.gov/pubmed/34220823 http://dx.doi.org/10.3389/fimmu.2021.677870 |