Deep learning predicts microbial interactions from self-organized spatiotemporal patterns

Microbial communities organize into spatial patterns that are largely governed by interspecies interactions. This phenomenon is an important metric for understanding community functional dynamics, yet the use of spatial patterns for predicting microbial interactions is currently lacking. Here we pro...

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Detalles Bibliográficos
Autores principales: Lee, Joon-Yong, Sadler, Natalie C., Egbert, Robert G., Anderton, Christopher R., Hofmockel, Kirsten S., Jansson, Janet K., Song, Hyun-Seob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298420/
https://www.ncbi.nlm.nih.gov/pubmed/32612750
http://dx.doi.org/10.1016/j.csbj.2020.05.023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298420/
https://www.ncbi.nlm.nih.gov/pubmed/32612750
http://dx.doi.org/10.1016/j.csbj.2020.05.023

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