Integrative omics-metabolic analysis (IOMA)
General concept
This approach integrates proteomic and metabolomic data to predict flux distributions. Quadratic programming is used to find a steady-state flux distribution that is consistent with estimated flux based on Michaelis menton estimations using proteomic and metabolomic 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:
Relevant references
Related methods
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