Multivariate landscapes constructed by Bayesian estimation over five hundred microbial electrochemical time profiles

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Data science emerges as a promising approach for studying and optimizing complex multivariable phenomena, such as the interaction between microorganisms and electrodes. However, there have been limited reports on a bioelectrochemical system that can produce a reliable database until date. Herein, we...

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Detalles Bibliográficos
Autores principales: Miran, Waheed, Huang, Wenyuan, Long, Xizi, Imamura, Gaku, Okamoto, Akihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676538/
https://www.ncbi.nlm.nih.gov/pubmed/36419444
http://dx.doi.org/10.1016/j.patter.2022.100610

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676538/
https://www.ncbi.nlm.nih.gov/pubmed/36419444
http://dx.doi.org/10.1016/j.patter.2022.100610

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