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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...
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| Publicado no: | Front Immunol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8250139/ https://ncbi.nlm.nih.gov/pubmed/34220823 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fimmu.2021.677870 |
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