PSU Mark
Eberly College of Science Mathematics Department

Meeting Details

For more information about this meeting, contact Tim Reluga, Stephanie Zerby, Andrew Belmonte, Chun Liu.

Title:Exact model reductions for asynchronous boolean networks
Seminar:Mathematical Biology and Physiology Seminar
Speaker:Tim Reluga, Math and Bio, Penn State
Boolean networks are a class of finite-state machines used to model cellular biological processes. Boolean networks have a simpler state-space than classical differential equation models and can be easier to parameterize based on qualitative laboratory observations. However, the state spaces still scale exponentially with network size, and model-reduction techniques are very useful in transforming tangled networks into easier-to-understand versions. In this talk, I'll discuss a couple intuitive reduction rules and the challenges of proving basic properties of these rules. Ideas will draw from directed graph theory, topology, modern algebra, and dynamic systems.

Room Reservation Information

Room Number:MB114
Date:01 / 24 / 2014
Time:12:00pm - 01:00pm