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A two-part mixed-effects model for analyzing longitudinal microbiome compositional data
Motivation: The human microbial communities are associated with many human diseases such as obesity, diabetes and inflammatory bowel disease. High-throughput sequencing technology has been widely used to quantify the microbial composition in order to understand its impacts on human health. Longitudi...
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| Опубликовано в: : | Bioinformatics |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Oxford University Press
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5860434/ https://ncbi.nlm.nih.gov/pubmed/27187200 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw308 |
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