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Date: 12 Dec 2011

Generalized models for high-throughput analysis of uncertain nonlinear systems

Abstract

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.