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The limitations, dangers, and benefits of simple methods for testing identifiability
In their Commentary paper, Villaverde and Massonis (On testing structural identifiability by a simple scaling method: relying on scaling symmetries can be misleading) have commented on our paper in which we proposed a simple scaling method to test structural identifiability. Our scaling invariance m...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516191/ https://www.ncbi.nlm.nih.gov/pubmed/34648494 http://dx.doi.org/10.1371/journal.pcbi.1009425 |
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author | Castro, Mario de Boer, Rob J. |
author_facet | Castro, Mario de Boer, Rob J. |
author_sort | Castro, Mario |
collection | PubMed |
description | In their Commentary paper, Villaverde and Massonis (On testing structural identifiability by a simple scaling method: relying on scaling symmetries can be misleading) have commented on our paper in which we proposed a simple scaling method to test structural identifiability. Our scaling invariance method (SIM) tests for scaling symmetries only, and Villaverde and Massonis correctly show the SIM may fail to detect identifiability problems when a model has other types of symmetries. We agree with the limitations raised by these authors but, also, we emphasize that the method is still valuable for its applicability to a wide variety of models, its simplicity, and even as a tool to introduce the problem of identifiability to investigators with little training in mathematics. |
format | Online Article Text |
id | pubmed-8516191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-85161912021-10-15 The limitations, dangers, and benefits of simple methods for testing identifiability Castro, Mario de Boer, Rob J. PLoS Comput Biol Formal Comment In their Commentary paper, Villaverde and Massonis (On testing structural identifiability by a simple scaling method: relying on scaling symmetries can be misleading) have commented on our paper in which we proposed a simple scaling method to test structural identifiability. Our scaling invariance method (SIM) tests for scaling symmetries only, and Villaverde and Massonis correctly show the SIM may fail to detect identifiability problems when a model has other types of symmetries. We agree with the limitations raised by these authors but, also, we emphasize that the method is still valuable for its applicability to a wide variety of models, its simplicity, and even as a tool to introduce the problem of identifiability to investigators with little training in mathematics. Public Library of Science 2021-10-14 /pmc/articles/PMC8516191/ /pubmed/34648494 http://dx.doi.org/10.1371/journal.pcbi.1009425 Text en © 2021 Castro, de Boer https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Formal Comment Castro, Mario de Boer, Rob J. The limitations, dangers, and benefits of simple methods for testing identifiability |
title | The limitations, dangers, and benefits of simple methods for testing identifiability |
title_full | The limitations, dangers, and benefits of simple methods for testing identifiability |
title_fullStr | The limitations, dangers, and benefits of simple methods for testing identifiability |
title_full_unstemmed | The limitations, dangers, and benefits of simple methods for testing identifiability |
title_short | The limitations, dangers, and benefits of simple methods for testing identifiability |
title_sort | limitations, dangers, and benefits of simple methods for testing identifiability |
topic | Formal Comment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516191/ https://www.ncbi.nlm.nih.gov/pubmed/34648494 http://dx.doi.org/10.1371/journal.pcbi.1009425 |
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