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Exploring thematic structure and predicted functionality of 16S rRNA amplicon data
Analysis of microbiome data involves identifying co-occurring groups of taxa associated with sample features of interest (e.g., disease state). Elucidating such relations is often difficult as microbiome data are compositional, sparse, and have high dimensionality. Also, the configuration of co-occu...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905537/ https://www.ncbi.nlm.nih.gov/pubmed/31825995 http://dx.doi.org/10.1371/journal.pone.0219235 |