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iSCHRUNK -- In Silico Approach to Characterization and Reduction of Uncertainty in the Kinetic Models of Genome-scale Metabolic Networks

, , and . Metab. Eng., (2016)

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Identification of multi-input systems: variance analysis and input design issues., , , and . Autom., 42 (4): 559-572 (2006)Towards kinetic modeling of genome-scale metabolic networks without sacrificing stoichiometric, thermodynamic and physiological constraints, , , and . Biotechnol. J., (2013)Correlation-Based Tuning of Linear Multivariable Decoupling Controllers., , , and . CDC/ECC, page 7144-7149. IEEE, (2005)From network models to network responses: integration of thermodynamic and kinetic properties of yeast genome-scale metabolic networks, , and . FEMS Yeast Res., (2012)iSCHRUNK -- In Silico Approach to Characterization and Reduction of Uncertainty in the Kinetic Models of Genome-scale Metabolic Networks, , and . Metab. Eng., (2016)Identification of metabolic engineering targets for the enhancement of 1,4-butanediol production in recombinant E. coli using large-scale kinetic models, , , , , , , and . Metab. Eng., (May 2016)From network models to network responses: integration of thermodynamic and kinetic properties of yeast genome-scale metabolic networks., , and . FEMS yeast research, 12 (2): 129--143 (March 2012)Correlation-Based Tuning of a Restricted-Complexity Controller for an Active Suspension System., , and . Eur. J. Control, 9 (1): 77-83 (2003)iSCHRUNK - In Silico Approach to Characterization and Reduction of Uncertainty in the Kinetic Models of Genome-scale Metabolic Networks., , and . Metabolic engineering, (Oct 14, 2015)Correlation-based tuning of decoupling multivariable controllers., , , and . Autom., 43 (9): 1481-1494 (2007)