ARZIMM: A Novel Analytic Platform for the Inference of Microbial Interactions and Community Stability from Longitudinal Microbiome Study

Dynamic changes of microbiome communities may play important roles in human health and diseases. The recent rise in longitudinal microbiome studies calls for statistical methods that can model the temporal dynamic patterns and simultaneously quantify the microbial interactions and community stabilit...

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Detalles Bibliográficos
Autores principales: He, Linchen, Wang, Chan, Hu, Jiyuan, Gao, Zhan, Falcone, Emilia, Holland, Steven M., Blaser, Martin J., Li, Huilin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914110/
https://www.ncbi.nlm.nih.gov/pubmed/35281829
http://dx.doi.org/10.3389/fgene.2022.777877

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914110/
https://www.ncbi.nlm.nih.gov/pubmed/35281829
http://dx.doi.org/10.3389/fgene.2022.777877

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