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

Raghunathan, et al.

Related methods

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