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Structural global parameter identifiability indicates whether one candetermine a parameter's value from given inputs and outputs in the absence ofnoise. If a given model has parameters for which there may be infinitely manyvalues, such parameters are called non-identifiable. We present a procedure foraccelerating a global identifiability query by eliminating algebraicallyindependent non-identifiable parameters. Our proposed approach significantlyimproves performance across different computer algebra frameworks.

More Efficient Identifiability Verification in ODE Models by Reducing Non-Identifiability