Optimization‐driven identification of genetic perturbations accelerates the convergence of model parameters in ensemble modeling of metabolic networks

AR Zomorrodi, JG Lafontaine Rivera… - Biotechnology …, 2013 - Wiley Online Library
The ensemble modeling (EM) approach has shown promise in capturing kinetic and
regulatory effects in the modeling of metabolic networks. Efficacy of the EM procedure relies …
被引用次数：34 相关文章

Optimization-driven identification of genetic perturbations accelerates the convergence of model parameters in ensemble modeling of metabolic networks

AR Zomorrodi, JGL Rivera, JC Liao… - Biotechnology …, 2013 - pubmed.ncbi.nlm.nih.gov
The ensemble modeling (EM) approach has shown promise in capturing kinetic and
regulatory effects in the modeling of metabolic networks. Efficacy of the EM procedure relies …

Optimization-driven identification of genetic perturbations accelerates the convergence of model parameters in ensemble modeling of metabolic networks.

AR Zomorrodi, LR JG, JC Liao… - Biotechnology Journal, 2013 - europepmc.org
The ensemble modeling (EM) approach has shown promise in capturing kinetic and
regulatory effects in the modeling of metabolic networks. Efficacy of the EM procedure relies …

Optimization-driven identification of genetic perturbations accelerates the convergence of model parameters in ensemble modeling of metabolic networks

AR Zomorrodi, JGL Rivera, JC Liao… - Biotechnology …, 2013 - pure.psu.edu
The ensemble modeling (EM) approach has shown promise in capturing kinetic and
regulatory effects in the modeling of metabolic networks. Efficacy of the EM procedure relies …