Zero-inflated generalized Dirichlet multinomial regression model for microbiome compositional data analysis
There is heightened interest in using high-throughput sequencing technologies to quantify abundances of microbial taxa and linking the abundance to human diseases and traits. Proper modeling of multivariate taxon counts is essential to the power of detecting this association. Existing models are lim...
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| Published in: | Biostatistics (Oxford, England) England), 2019-10, Vol.20 (4), p.698-713 |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites Items that cite this one |
| Online Access: | Get full text |
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