Protocol for hybrid flux balance, statistical, and machine learning analysis of multi-omic data from the cyanobacterium Synechococcus sp. PCC 7002

Combining a computational framework for flux balance analysis with machine learning improves the accuracy of predicting metabolic activity across conditions, while enabling mechanistic interpretation. This protocol presents a guide to condition-specific metabolic modeling that integrates regularized...

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Detalles Bibliográficos
Autores principales: Vijayakumar, Supreeta, Angione, Claudio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8488602/
https://www.ncbi.nlm.nih.gov/pubmed/34632416
http://dx.doi.org/10.1016/j.xpro.2021.100837

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8488602/
https://www.ncbi.nlm.nih.gov/pubmed/34632416
http://dx.doi.org/10.1016/j.xpro.2021.100837

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