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Bayesian compositional regression with structured priors for microbiome feature selection
The microbiome plays a critical role in human health and disease, and there is a strong scientific interest in linking specific features of the microbiome to clinical outcomes. There are key aspects of microbiome data, however, that limit the applicability of standard variable selection methods. In...
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| Publié dans: | Biometrics |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8216648/ https://ncbi.nlm.nih.gov/pubmed/32686846 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.13335 |
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