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Modeling biological gradient formation: combining partial differential equations and Petri nets

Both Petri nets and differential equations are important modeling tools for biological processes. In this paper we demonstrate how these two modeling techniques can be combined to describe biological gradient formation. Parameters derived from partial differential equation describing the process of...

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Detalles Bibliográficos
Autores principales: Bertens, Laura M. F., Kleijn, Jetty, Hille, Sander C., Heiner, Monika, Koutny, Maciej, Verbeek, Fons J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5101295/
https://www.ncbi.nlm.nih.gov/pubmed/27881934
http://dx.doi.org/10.1007/s11047-015-9531-4
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author Bertens, Laura M. F.
Kleijn, Jetty
Hille, Sander C.
Heiner, Monika
Koutny, Maciej
Verbeek, Fons J.
author_facet Bertens, Laura M. F.
Kleijn, Jetty
Hille, Sander C.
Heiner, Monika
Koutny, Maciej
Verbeek, Fons J.
author_sort Bertens, Laura M. F.
collection PubMed
description Both Petri nets and differential equations are important modeling tools for biological processes. In this paper we demonstrate how these two modeling techniques can be combined to describe biological gradient formation. Parameters derived from partial differential equation describing the process of gradient formation are incorporated in an abstract Petri net model. The quantitative aspects of the resulting model are validated through a case study of gradient formation in the fruit fly.
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spelling pubmed-51012952016-11-21 Modeling biological gradient formation: combining partial differential equations and Petri nets Bertens, Laura M. F. Kleijn, Jetty Hille, Sander C. Heiner, Monika Koutny, Maciej Verbeek, Fons J. Nat Comput Article Both Petri nets and differential equations are important modeling tools for biological processes. In this paper we demonstrate how these two modeling techniques can be combined to describe biological gradient formation. Parameters derived from partial differential equation describing the process of gradient formation are incorporated in an abstract Petri net model. The quantitative aspects of the resulting model are validated through a case study of gradient formation in the fruit fly. Springer Netherlands 2015-10-31 2016 /pmc/articles/PMC5101295/ /pubmed/27881934 http://dx.doi.org/10.1007/s11047-015-9531-4 Text en © The Author(s) 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Bertens, Laura M. F.
Kleijn, Jetty
Hille, Sander C.
Heiner, Monika
Koutny, Maciej
Verbeek, Fons J.
Modeling biological gradient formation: combining partial differential equations and Petri nets
title Modeling biological gradient formation: combining partial differential equations and Petri nets
title_full Modeling biological gradient formation: combining partial differential equations and Petri nets
title_fullStr Modeling biological gradient formation: combining partial differential equations and Petri nets
title_full_unstemmed Modeling biological gradient formation: combining partial differential equations and Petri nets
title_short Modeling biological gradient formation: combining partial differential equations and Petri nets
title_sort modeling biological gradient formation: combining partial differential equations and petri nets
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5101295/
https://www.ncbi.nlm.nih.gov/pubmed/27881934
http://dx.doi.org/10.1007/s11047-015-9531-4
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