Computational Biology
Sensitivity analysis is a method used to determine how the variation in the output of a model can be attributed to different variations in its inputs. This technique is particularly important in understanding metabolic networks and flux balance analysis as it helps in identifying which parameters most significantly influence the system's behavior and can highlight potential metabolic engineering targets.
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