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

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

Abstract 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 r...

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Bibliographic Details
Main Authors: Yaeseong Hong, Tom Nguyen, Philipp Arbter, Tyll Utesch, An‐Ping Zeng
Format: Article
Language:English
Published: Wiley-VCH 2022-02-01
Series:Engineering in Life Sciences
Subjects:
automated fermentation analysis
Clostridium pasteurianum
phenotype analysis
process monitoring
unsupervised learning
Online Access:https://doi.org/10.1002/elsc.202100114

Internet

https://doi.org/10.1002/elsc.202100114

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