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Zero-Inflated gaussian mixed models for analyzing longitudinal microbiome data
MOTIVATION: The human microbiome is variable and dynamic in nature. Longitudinal studies could explain the mechanisms in maintaining the microbiome in health or causing dysbiosis in disease. However, it remains challenging to properly analyze the longitudinal microbiome data from either 16S rRNA or...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652264/ https://www.ncbi.nlm.nih.gov/pubmed/33166356 http://dx.doi.org/10.1371/journal.pone.0242073 |