Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods

Identifying the reactions that govern a dynamical biological system is a crucial but challenging task in systems biology. In this work, we present a data-driven method to infer the underlying biochemical reaction system governing a set of observed species concentrations over time. We formulate the p...

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Detalles Bibliográficos
Autores principales: Jiang, Richard, Singh, Prashant, Wrede, Fredrik, Hellander, Andreas, Petzold, Linda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830701/
https://www.ncbi.nlm.nih.gov/pubmed/35100263
http://dx.doi.org/10.1371/journal.pcbi.1009830

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830701/
https://www.ncbi.nlm.nih.gov/pubmed/35100263
http://dx.doi.org/10.1371/journal.pcbi.1009830

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