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Agent-based modeling: case study in cleavage furrow models

The number of studies in cell biology in which quantitative models accompany experiments has been growing steadily. Roughly, mathematical and computational techniques of these models can be classified as “differential equation based” (DE) or “agent based” (AB). Recently AB models have started to out...

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Detalles Bibliográficos
Autores principales: Mogilner, Alex, Manhart, Angelika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The American Society for Cell Biology 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5221574/
https://www.ncbi.nlm.nih.gov/pubmed/27811328
http://dx.doi.org/10.1091/mbc.E16-01-0013
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author Mogilner, Alex
Manhart, Angelika
author_facet Mogilner, Alex
Manhart, Angelika
author_sort Mogilner, Alex
collection PubMed
description The number of studies in cell biology in which quantitative models accompany experiments has been growing steadily. Roughly, mathematical and computational techniques of these models can be classified as “differential equation based” (DE) or “agent based” (AB). Recently AB models have started to outnumber DE models, but understanding of AB philosophy and methodology is much less widespread than familiarity with DE techniques. Here we use the history of modeling a fundamental biological problem—positioning of the cleavage furrow in dividing cells—to explain how and why DE and AB models are used. We discuss differences, advantages, and shortcomings of these two approaches.
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spelling pubmed-52215742017-01-22 Agent-based modeling: case study in cleavage furrow models Mogilner, Alex Manhart, Angelika Mol Biol Cell Perspective The number of studies in cell biology in which quantitative models accompany experiments has been growing steadily. Roughly, mathematical and computational techniques of these models can be classified as “differential equation based” (DE) or “agent based” (AB). Recently AB models have started to outnumber DE models, but understanding of AB philosophy and methodology is much less widespread than familiarity with DE techniques. Here we use the history of modeling a fundamental biological problem—positioning of the cleavage furrow in dividing cells—to explain how and why DE and AB models are used. We discuss differences, advantages, and shortcomings of these two approaches. The American Society for Cell Biology 2016-11-07 /pmc/articles/PMC5221574/ /pubmed/27811328 http://dx.doi.org/10.1091/mbc.E16-01-0013 Text en © 2016 Mogilner and Manhart. This article is distributed by The American Society for Cell Biology under license from the author(s). Two months after publication it is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0). “ASCB®,” “The American Society for Cell Biology®,” and “Molecular Biology of the Cell®” are registered trademarks of The American Society for Cell Biology.
spellingShingle Perspective
Mogilner, Alex
Manhart, Angelika
Agent-based modeling: case study in cleavage furrow models
title Agent-based modeling: case study in cleavage furrow models
title_full Agent-based modeling: case study in cleavage furrow models
title_fullStr Agent-based modeling: case study in cleavage furrow models
title_full_unstemmed Agent-based modeling: case study in cleavage furrow models
title_short Agent-based modeling: case study in cleavage furrow models
title_sort agent-based modeling: case study in cleavage furrow models
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5221574/
https://www.ncbi.nlm.nih.gov/pubmed/27811328
http://dx.doi.org/10.1091/mbc.E16-01-0013
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