Identifiability methods for biological systems: Determining subsets of parameters through sensitivity analysis, penalty-based optimisation, profile likelihood and LASSO model reduction-Reference-Cited by-同舟云学术

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Identifiability methods for biological systems: Determining subsets of parameters through sensitivity analysis, penalty-based optimisation, profile likelihood and LASSO model reduction

Published:2024-07 Issue: Volume:186 Page:108683
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Binns Michael,Usai Alessandro,Theodoropoulos Constantinos^ORCID

Funder

Dongguk University

Publisher

Elsevier BV

Reference19 articles.

1. A unified framework for estimating parameters of kinetic biological models;Baker;BMC Bioinform.,2015

2. Model reduction applied to empirical models for biomass gasification in downdraft gasifiers;Binns;Sustainability,2021

3. Parameter estimation combined with model reduction techniques for identifiability analysis of biological models;Binns;Comput. Aided Chem. Eng.,2023

4. Parameter identification for state estimation-application to bioprocess software sensors;Bogaerts;Chem. Eng. Sci.,2004

5. Determining identifiable parameter combinations using subset profiling;Eisenberg;Math. Biosci.,2014

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1. The future of digital applications in pharmaceutical operations;Current Opinion in Chemical Engineering;2024-09

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