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Machine learning-assisted discovery of growth decision elements by relating bacterial population dynamics to environmental diversity

Microorganisms growing in their habitat constitute a complex system. How the individual constituents of the environment contribute to microbial growth remains largely unknown. The present study focused on the contribution of environmental constituents to population dynamics via a high-throughput ass...

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Detalles Bibliográficos
Autores principales: Aida, Honoka, Hashizume, Takamasa, Ashino, Kazuha, Ying, Bei-Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9417415/
https://www.ncbi.nlm.nih.gov/pubmed/36017903
http://dx.doi.org/10.7554/eLife.76846