The limitations, dangers, and benefits of simple methods for testing identifiability

dc.contributor.authorCastro Ponce, Marioes-ES
dc.date.accessioned2021-10-20T03:00:57Z
dc.date.available2021-10-20T03:00:57Z
dc.date.issued2021-10-01
dc.descriptionArtículos en revistas
dc.description.abstractIn 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.es-ES
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.format.mimetypeapplication/pdfes_ES
dc.identifier.issn1553-7358
dc.identifier.urihttps://doi.org/10.1371/journal.pcbi.1009425
dc.keywordsidentifiability, biomathematics, models, biophysicses-ES
dc.language.isoen-GB
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.holderes_ES
dc.sourceRevista: Plos Computational Biology, Periodo: 1, Volumen: online, Número: 10, Página inicial: e1009425, Página final: 0
dc.subject.otherInstituto de Investigación Tecnológica (IIT)
dc.titleThe limitations, dangers, and benefits of simple methods for testing identifiability
dc.typeinfo:eu-repo/semantics/article

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