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...

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Detalles Bibliográficos
Autores principales: Woloszynek, Stephen, Mell, Joshua Chang, Zhao, Zhengqiao, Simpson, Gideon, O’Connor, Michael P., Rosen, Gail L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
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

Internet

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

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