Phenotype analysis of cultivation processes via unsupervised machine learning: Demonstration for Clostridium pasteurianum

A novel approach of phenotype analysis of fermentation‐based bioprocesses based on unsupervised learning (clustering) is presented. As a prior identification of phenotypes and conditional interrelations is desired to control fermentation performance, an automated learning method to output reference...

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Detalles Bibliográficos
Autores principales: Hong, Yaeseong, Nguyen, Tom, Arbter, Philipp, Utesch, Tyll, Zeng, An‐Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8811730/
https://www.ncbi.nlm.nih.gov/pubmed/35140556
http://dx.doi.org/10.1002/elsc.202100114

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8811730/
https://www.ncbi.nlm.nih.gov/pubmed/35140556
http://dx.doi.org/10.1002/elsc.202100114

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