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Neural network aided approximation and parameter inference of non-Markovian models of gene expression
Non-Markovian models of stochastic biochemical kinetics often incorporate explicit time delays to effectively model large numbers of intermediate biochemical processes. Analysis and simulation of these models, as well as the inference of their parameters from data, are fraught with difficulties beca...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113478/ https://www.ncbi.nlm.nih.gov/pubmed/33976195 http://dx.doi.org/10.1038/s41467-021-22919-1 |