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Published in 2018 at "Chemical Engineering Research and Design"
DOI: 10.1016/j.cherd.2018.04.002
Abstract: Abstract In this work, a methodology for the parameter estimation of heterogeneously-catalyzed reactions is presented. A simulation-optimization framework based on a dynamic model was coupled with an identifiability analysis, in order to detect for which…
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Keywords:
identifiability analysis;
methodology;
parameter;
heterogeneously catalyzed ... See more keywords
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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,…
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Keywords:
identifiability analysis;
identifiability;
mixed effects;
structural identifiability ... See more keywords
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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…
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Keywords:
non stationary;
identifiability analysis;
cascaded linear;
structural identifiability ... See more keywords
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Published in 2019 at "Journal of experimental botany"
DOI: 10.1093/jxb/erz049
Abstract: Agricultural systems models are complex and tend to be over-parameterized with respect to observational datasets. Practical identifiability analysis based on local sensitivity analysis has proved effective in investigating identifiable parameter sets in environmental models, but…
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Keywords:
quality;
identifiability analysis;
analysis;
phenotyping experiments ... See more keywords
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Published in 2022 at "PLOS Computational Biology"
DOI: 10.1371/journal.pcbi.1010734
Abstract: Heterogeneity is a dominant factor in the behaviour of many biological processes. Despite this, it is common for mathematical and statistical analyses to ignore biological heterogeneity as a source of variability in experimental data. Therefore,…
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Keywords:
heterogeneity;
inference identifiability;
identifiability;
analysis ... See more keywords