Optimization-driven identification of genetic perturbations accelerates the convergence of model parameters in ensemble modeling of metabolic networks
Article first published online: 10 JUN 2013
Copyright © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Special Issue: Metabolic Modeling and Simulation
Volume 8, Issue 9, pages 1090–1104, September 2013
How to Cite
Zomorrodi, A. R., Lafontaine Rivera, J. G., Liao, J. C. and Maranas, C. D. (2013), Optimization-driven identification of genetic perturbations accelerates the convergence of model parameters in ensemble modeling of metabolic networks. Biotechnology Journal, 8: 1090–1104. doi: 10.1002/biot.201200270
- Issue published online: 9 SEP 2013
- Article first published online: 10 JUN 2013
- Accepted manuscript online: 1 MAR 2013 05:10AM EST
- Manuscript Accepted: 28 FEB 2013
- Manuscript Revised: 22 JAN 2013
- Manuscript Received: 11 NOV 2012
- United States Department of Energy (DOE) Grant. Grant Number: DE-ER65254
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