Three novel approaches to structural identifiability analysis in mixed-effects models
Sign Up to like & getrecommendations! Published in 2019 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2016.04.024
Abstract: BACKGROUND AND OBJECTIVE Structural identifiability is a concept that considers whether the structure of a model together with a set of input-output relations uniquely determines the model parameters. In the mathematical modelling of biological systems,… read more here.
Keywords: identifiability analysis; identifiability; mixed effects; structural identifiability ... See more keywords
Extending existing structural identifiability analysis methods to mixed-effects models.
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical biosciences"
DOI: 10.1016/j.mbs.2017.10.009
Abstract: The concept of structural identifiability for state-space models is expanded to cover mixed-effects state-space models. Two methods applicable for the analytical study of the structural identifiability of mixed-effects models are presented. The two methods are… read more here.
Keywords: two methods; mixed effects; structural identifiability; extending existing ... See more keywords
On structural identifiability analysis of the cascaded linear dynamic systems in isotopically non-stationary 13C labelling experiments.
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical biosciences"
DOI: 10.1016/j.mbs.2018.03.009
Abstract: The isotopically non-stationary 13C labelling experiments, as an emerging experimental technique, can estimate the intracellular fluxes of the cell culture under an isotopic transient period. However, to the best of our knowledge, the issue of… read more here.
Keywords: non stationary; identifiability analysis; cascaded linear; structural identifiability ... See more keywords
Determining minimal output sets that ensure structural identifiability
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DOI: 10.1371/journal.pone.0207334
Abstract: The process of inferring parameter values from experimental data can be a cumbersome task. In addition, the collection of experimental data can be time consuming and costly. This paper covers both these issues by addressing… read more here.
Keywords: output sets; structural identifiability; output; determining minimal ... See more keywords
The Structural Identifiability of a Humidity-Driven Epidemiological Model of Influenza Transmission
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DOI: 10.3390/v14122795
Abstract: Influenza epidemics cause considerable morbidity and mortality every year worldwide. Climate-driven epidemiological models are mainstream tools to understand seasonal transmission dynamics and predict future trends of influenza activity, especially in temperate regions. Testing the structural… read more here.
Keywords: transmission; structural identifiability; identifiability; driven epidemiological ... See more keywords