Bayesian-based selection of metabolic objective functions

General concept

Uses a Bayesian based method to discriminate the different objective functions. This method calculates the posterior probabilities of different probable objective functions and the one with higher posterior probability is considered the more likely one.

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

Knorr, et al.

Related methods

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