Title:  Algebraic models in systems biology

Abstract:  Progress in systems biology relies on the use of mathematical and statistical models for system level studies of biological processes. Several different modeling frameworks have been used successfully, including traditional differential equations based models, a variety of stochastic models, agent-based models, and Boolean networks, to name some common ones. This talk will focus on discrete models and the challenges they present, in particular model stability and data selection.