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

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 re...

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Bibliographic Details
Main Authors: Kese Pontes Freitas Alberton, André Luís Alberton, Jimena Andrea Di Maggio, Vanina Gisela Estrada, María Soledad Díaz, Argimiro Resende Secchi
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2015/454765