Enhancement of microbiome management by machine learning for biological wastewater treatment

Here, we propose to develop microbiome‐based machine learning models to predict the response of biological wastewater treatment systems to environmental or operational disturbances or to design specific microbiomes to achieve a desired system function. These machine learning models can be used to en...

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Detalles Bibliográficos
Autores principales: Cai, Wenfang, Long, Fei, Wang, Yunhai, Liu, Hong, Guo, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Crystal Ball
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7888473/
https://www.ncbi.nlm.nih.gov/pubmed/33222377
http://dx.doi.org/10.1111/1751-7915.13707
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author Cai, Wenfang
Long, Fei
Wang, Yunhai
Liu, Hong
Guo, Kun
author_facet Cai, Wenfang
Long, Fei
Wang, Yunhai
Liu, Hong
Guo, Kun
author_sort Cai, Wenfang
collection PubMed
description Here, we propose to develop microbiome‐based machine learning models to predict the response of biological wastewater treatment systems to environmental or operational disturbances or to design specific microbiomes to achieve a desired system function. These machine learning models can be used to enhance the stability of microbiome‐based biological systems and warn against the failure of these systems.
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spelling pubmed-78884732021-02-26 Enhancement of microbiome management by machine learning for biological wastewater treatment Cai, Wenfang Long, Fei Wang, Yunhai Liu, Hong Guo, Kun Microb Biotechnol Crystal Ball Here, we propose to develop microbiome‐based machine learning models to predict the response of biological wastewater treatment systems to environmental or operational disturbances or to design specific microbiomes to achieve a desired system function. These machine learning models can be used to enhance the stability of microbiome‐based biological systems and warn against the failure of these systems. John Wiley and Sons Inc. 2020-11-22 /pmc/articles/PMC7888473/ /pubmed/33222377 http://dx.doi.org/10.1111/1751-7915.13707 Text en © 2020 The Authors. Microbial Biotechnology published by John Wiley & Sons Ltd and Society for Applied Microbiology. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Crystal Ball
Cai, Wenfang
Long, Fei
Wang, Yunhai
Liu, Hong
Guo, Kun
Enhancement of microbiome management by machine learning for biological wastewater treatment
title Enhancement of microbiome management by machine learning for biological wastewater treatment
title_full Enhancement of microbiome management by machine learning for biological wastewater treatment
title_fullStr Enhancement of microbiome management by machine learning for biological wastewater treatment
title_full_unstemmed Enhancement of microbiome management by machine learning for biological wastewater treatment
title_short Enhancement of microbiome management by machine learning for biological wastewater treatment
title_sort enhancement of microbiome management by machine learning for biological wastewater treatment
topic Crystal Ball
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7888473/
https://www.ncbi.nlm.nih.gov/pubmed/33222377
http://dx.doi.org/10.1111/1751-7915.13707
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AT liuhong enhancementofmicrobiomemanagementbymachinelearningforbiologicalwastewatertreatment
AT guokun enhancementofmicrobiomemanagementbymachinelearningforbiologicalwastewatertreatment

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