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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
John Wiley and Sons Inc
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |