Parameter estimation for a point-source diffusion-decay morphogen model.


Journal

Journal of mathematical biology
ISSN: 1432-1416
Titre abrégé: J Math Biol
Pays: Germany
ID NLM: 7502105

Informations de publication

Date de publication:
06 2020
Historique:
received: 23 08 2019
revised: 08 02 2020
pubmed: 27 4 2020
medline: 23 6 2021
entrez: 27 4 2020
Statut: ppublish

Résumé

In this paper we present a novel method for finding unknown parameters for an unknown morphogen. We postulate the existence of an unknown morphogen in a given three-dimensional domain due to the spontaneous arrangement of a downstream species on the domain boundary for which data is known. Assuming a modified Helmholtz model for the morphogen and that it is produced from a single source in the domain, our method accurately estimates the source location and other model parameters. Notably, our method does not require the forward solution of the model to be computed which can often be a challenge for three-dimensional PDE model parameter fitting. Instead, an extension is made from the problem domain to an infinite domain and the analytic nature of the fundamental solution is exploited. We explore in this manuscript strategies for best conditioning the problem and rigorously explore the accuracy of the method on two test problems. Our tests focus on the effect of source location on accuracy but also the robustness of the algorithm to experimental noise.

Identifiants

pubmed: 32335708
doi: 10.1007/s00285-020-01494-x
pii: 10.1007/s00285-020-01494-x
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2227-2255

Auteurs

Mark B Flegg (MB)

School of Mathematical Sciences, Monash University, Clayton, Australia. mark.flegg@monash.edu.

Mario A Muñoz (MA)

School of Mathematics and Statistics, University of Melbourne, Parkville, Australia.

Kate Smith-Miles (K)

School of Mathematics and Statistics, University of Melbourne, Parkville, Australia.

Wai Shan Yuen (WS)

Monash Biomedicine Discovery Institute, Monash University, Clayton, Australia.

Jennifer A Flegg (JA)

School of Mathematics and Statistics, University of Melbourne, Parkville, Australia.

John G Carroll (JG)

Monash Biomedicine Discovery Institute, Monash University, Clayton, Australia.

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Classifications MeSH