Modeling

This page is the entry point for all things about the modeling methods of the project. Summaries of meetings about modeling are available.

Discrete Methods

Using methods from computational algebra, the Laubenbacher group has developed a novel reverse-engineering modeling approach for biological networks, described by time series of experimental data. This method is based on the framework of discrete dynamical systems in which each variable can take on a finite number of states.

Continuous Methods

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Optimal Time Series Data Sets

In this project we are researching how time series experiments should be designed to provide optimal data for reverse-engineering methods.