Research
Generalized Models for high-throughput analysis of uncer- tain nonlinear systems
Journal of Mathematics in Industry 2011, 1:9 doi:10.1186/2190-5983-1-9
Published: 12 December 2011Abstract (provisional)
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.
