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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| 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 |