Experimental design for parameter estimation in steady-state linear models of metabolic networks.

Mathematical Biosciences(2020)

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摘要
•Analytical identifiability criterion for kinetic parameters in linear models of metabolic networks.•Analytical calculation of the Fisher information matrix for estimation of kinetic parameters in linear models of metabolic networks under the assumption of normal error terms.•Optimal input fluxes and minimal observation sets for linear models of metabolic networks.
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关键词
Systems biology,Metabolic networks,Parameter identifiability,Experimental design,Fisher information,D-optimality
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