Detecting interaction networks in the human microbiome with conditional Granger causality

Human microbiome research is rife with studies attempting to deduce microbial correlation networks from sequencing data. Standard correlation and/or network analyses may be misleading when taken as an indication of taxon interactions because “correlation is neither necessary nor sufficient to establ...

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Detalles Bibliográficos
Autores principales: Mainali, Kumar, Bewick, Sharon, Vecchio-Pagan, Briana, Karig, David, Fagan, William F.
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/PMC6544333/
https://www.ncbi.nlm.nih.gov/pubmed/31107866
http://dx.doi.org/10.1371/journal.pcbi.1007037

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544333/
https://www.ncbi.nlm.nih.gov/pubmed/31107866
http://dx.doi.org/10.1371/journal.pcbi.1007037

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