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A marginalized two-part Beta regression model for microbiome compositional data
In microbiome studies, an important goal is to detect differential abundance of microbes across clinical conditions and treatment options. However, the microbiome compositional data (quantified by relative abundance) are highly skewed, bounded in [0, 1), and often have many zeros. A two-part model i...
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| Publicado no: | PLoS Comput Biol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6072097/ https://ncbi.nlm.nih.gov/pubmed/30036363 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006329 |
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