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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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| Publicado no: | PLoS Comput Biol |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6544333/ https://ncbi.nlm.nih.gov/pubmed/31107866 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1007037 |
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