Diffusivity estimation for activator–inhibitor models: theory and application to intracellular dynamics of the actin cytoskeleton
A theory for diffusivity estimation for spatially extended activator–inhibitor dynamics modeling the evolution of intracellular signaling networks is developed in the math- ematical framework of stochastic reaction–diffusion systems. In order to account for model uncertainties, we extend the results...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/359850 |
| Acceso en línea: | https://hdl.handle.net/2117/359850 https://dx.doi.org/10.1007/s00332-021-09714-4 |
| Access Level: | acceso abierto |
| Palabra clave: | Cytoskeleton Parametric drift estimation Stochastic reaction–diffusion systems Maximum likelihood estimation Actin cytoskeleton dynamics Difusió (Física) Àrees temàtiques de la UPC::Física::Física molecular::Espectroscòpia molecular |
| Sumario: | A theory for diffusivity estimation for spatially extended activator–inhibitor dynamics modeling the evolution of intracellular signaling networks is developed in the math- ematical framework of stochastic reaction–diffusion systems. In order to account for model uncertainties, we extend the results for parameter estimation for semilinear stochastic partial differential equations |
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