Generalized models for high-throughput analysis of uncertain nonlinear systems
نویسندگان
چکیده
Purpose: Describe a high-throughput method for the analysis of uncertain models, e.g. in biological research. Methods: Generalized modeling for conceptual analysis of large classes of models. Results: Local dynamics of uncertain networks are revealed as a function of intuitive parameters. Conclusions: Generalized modeling easily scales to very large networks.
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