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Model parametric identification is a critical yet often overlooked step for the modelling of biosystems. Modern experimental techniques can be used to obtain time-series data which may then be used to estimate model parameters. However, in many cases, a subset of model parameters may not be uniquely estimated, independently of the quantity and quality of data available or the numerical techniques used for estimation. This lack of identifiability is related to the structure of the model. Thisdoi:10.3182/20110828-6-it-1002.00800 fatcat:zpvycvimbzgsrbcjmcsiaa3t64