论文信息 - Generalized models for high-throughput analysis of uncertain nonlinear systems

Generalized models for high-throughput analysis of uncertain nonlinear systems

PurposeDescribe a high-throughput method for the analysis of uncertain models, e.g. in biological research.MethodsGeneralized modeling for conceptual analysis of large classes of models.ResultsLocal dynamics of uncertain networks are revealed as a function of intuitive parameters.ConclusionsGeneralized modeling easily scales to very large networks.

Stefan Siegmund | Thilo Gross

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