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 ...
In this article we introduce a new concept, structural identifiability, which plays a central role i...
<p>The paper presents a novel method for assessing the local structural identifiability question for...
Ordinary differential equation models often contain a large number of parameters that must be determ...
In their Commentary paper, Villaverde and Massonis (On testing structural identifiability by a simpl...
8 pages.-- This is an open access article distributed under the terms of the Creative Commons Attrib...
A recent paper published in PLOS Computational Biology [1] introduces the Scaling Invariance Method ...
Successful mathematical modeling of biological processes relies on the expertise of the modeler to c...
We may attempt to encapsulate what we know about a physical system by a model structure, S. This col...
International audienceWe question the notion of identifiability and its relation with the actual abi...
A prerequisite for a well-posed inference problem is that there exists a unique solution for any giv...
The notion of identifiability addresses the question of whether it is at all possible to obtain uniq...
<p>Further refinements are possible: in some cases more complete solutions may be obtained by re-run...
A dynamic model is structurally identifiable (respectively, observable) if it is theoretically possi...
Background: Structural identifiability concerns whether the parameters in a postulated model structu...
A number of inconsistencies, misunderstandings and ambiguities have arisen in the recent literature ...
In this article we introduce a new concept, structural identifiability, which plays a central role i...
<p>The paper presents a novel method for assessing the local structural identifiability question for...
Ordinary differential equation models often contain a large number of parameters that must be determ...
In their Commentary paper, Villaverde and Massonis (On testing structural identifiability by a simpl...
8 pages.-- This is an open access article distributed under the terms of the Creative Commons Attrib...
A recent paper published in PLOS Computational Biology [1] introduces the Scaling Invariance Method ...
Successful mathematical modeling of biological processes relies on the expertise of the modeler to c...
We may attempt to encapsulate what we know about a physical system by a model structure, S. This col...
International audienceWe question the notion of identifiability and its relation with the actual abi...
A prerequisite for a well-posed inference problem is that there exists a unique solution for any giv...
The notion of identifiability addresses the question of whether it is at all possible to obtain uniq...
<p>Further refinements are possible: in some cases more complete solutions may be obtained by re-run...
A dynamic model is structurally identifiable (respectively, observable) if it is theoretically possi...
Background: Structural identifiability concerns whether the parameters in a postulated model structu...
A number of inconsistencies, misunderstandings and ambiguities have arisen in the recent literature ...
In this article we introduce a new concept, structural identifiability, which plays a central role i...
<p>The paper presents a novel method for assessing the local structural identifiability question for...
Ordinary differential equation models often contain a large number of parameters that must be determ...