Data reconciliation and parameter estimation in FBA
General concept
This method attempts to improve flux predictions with data reconciliation. This is done using a nonlinear optimization in which nonlinear constraints are represented using a barrier formulation, and the problem is solved using an iterative approach. Thus, noisy data can be reconciled with the model and biomass composition can be estimated.
Items to consider when implementing
Software packages with this method
Applications of interest
Description of study and link to study:
What was learned with this method:
Relevant references
Related methods
page revision: 0, last edited: 02 Apr 2013 19:14