Approximating an objective function with transcriptomic data
General concept
This approach modifies an objective function to fit new growth conditions in which the biomass composition changes. The original objective function is split into major metabolite components, and each component is sampled with MCMC to determine average reaction fluxes. In an iterative manner using linear regression, the components are removed or weighted and sampling was redone. This process is continued until sampling results fit the gene expression data.
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:
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Related methods
page revision: 0, last edited: 02 Apr 2013 19:20