DAISY: A new software tool to test global identifiability of biological and physiological systems

By Giuseppina Bellu, M. Saccomani, S. Audoly, L. D'Angiò. Comput. Methods Programs Biomed., 2007

474 citations recorded by the source corpus.

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Inference of complex biological networks: distinguishability issues and optimization-based solutions (2011, methodology): “Computer algebra tools can be successfully used for the symbolic computations needed for identifiability and distinguishability testing of complex models [57-60].”
ON IDENTIFIABILITY OF NONLINEAR ODE MODELS AND APPLICATIONS IN VIRAL DYNAMICS (2011, background): “Autoreduced set: A differential polynomial set is said to be an autoreduced set if any two differential polynomials in this set are reduced with respect to each other.”
On the observability and identifiability of nonlinear structural and mechanical systems (2015, methodology): “The work in [17] and [18] lead to the robust identifiability software package DAISY, which is described in [19].”
Global Identifiability of Differential Models (2018, methodology): “However, the software tool DAISY, see [5, 24, 23], which is based on the approach of input-output equations, returned that it is globally identifiable.”