A review arguing that identifiability analysis is a prerequisite for reliable parameter estimation and prediction in systems biology, and summarizing available computational tools.
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Think before you fit: parameter identifiability, sensitivity and uncertainty in systems biology models
A review arguing that identifiability analysis is a prerequisite for reliable parameter estimation and prediction in systems biology, and summarizing available computational tools.