Bayesian inverse problem for a fractional diffusion model of cell migration

Autor: Francisco Julian Ariza-Hernandez, Juan Carlos Najera-Tinoco, Martin Patricio Arciga-Alejandre, Eduardo Castañeda-Saucedo, Jorge Sanchez-Ortiz
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Mathematical Biosciences and Engineering, Vol 21, Iss 4, Pp 5826-5837 (2024)
Druh dokumentu: article
ISSN: 1551-0018
DOI: 10.3934/mbe.2024257?viewType=HTML
Popis: In the present work, both direct and inverse problems are considered for a Fisher-type fractional diffusion equation, which is proposed to describe the phenomenon of cell migration. For the direct problem, a solution is given via the Fourier method and the Laplace transform. On the other hand, we solved the inverse problem from a Bayesian statistical framework using a set of data that are the result of a cell migration experiment on a wound closure assay. We estimated the parameters of the mathematical model via Markov Chain Monte Carlo methods.
Databáze: Directory of Open Access Journals