Machine learning identifies key metabolic reactions in bacterial growth on different carbon sources

Machine learning identifies key metabolic reactions in bacterial growth on different carbon sources

Abstract Carbon source-dependent control of bacterial growth is fundamental to bacterial physiology and survival. However, pinpointing the metabolic steps important for cell growth is challenging due to the complexity of cellular networks. Here, the elastic net model and multilayer perception model...

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Bibliographic Details
Main Authors: Hyunjae Woo, Youngshin Kim, Dohyeon Kim, Sung Ho Yoon
Format: Article
Language:English
Published: Springer Nature 2024-01-01
Series:Molecular Systems Biology
Subjects:
Machine Learning
Deep Learning
Carbon Source
Bacterial Growth
Metabolic Reaction
Online Access:https://doi.org/10.1038/s44320-024-00017-w

Internet

https://doi.org/10.1038/s44320-024-00017-w

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