Simultaneous Parameters Identifiability and Estimation of an E. coli Metabolic Network Model

Abstract

This work proposes a procedure for simultaneous parameters identifiability and estimation in metabolic networks in order to overcome difficulties associated with lack of experimental data and large number of parameters, a common scenario in the modeling of such systems. As case study, the complex real problem of parameters identifiability of the Escherichia… (More)
DOI: 10.1155/2015/454765

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