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Tuesday, July 31, 2012
2:00 PM - 3:30 PM
CNLS Conference Room (TA-3, Bldg 1690)

q-Bio Seminar Series

New methods for modeling stochastic biochemical networks

Eric Mjolsness
Eric Mjolsness UC Irvine Departments of Computer Science and Mathematics

I will discuss the theoretical derivation of several new computational methods for modeling stochastic biochemical networks developed in my group. These include "ER-Leap", an exact acceleration of Gillespie's stochastic simulation algorithm; a hierarchical version of ERLeap which can be parallelized; the "Graph-Constrained Correlation Dynamics" method for model reduction, which seeks to maintain a Boltzmann distribution approximation to the probabilistic system state; and a method for learning the parameters in stochastic chemical kinetic models. Joint work with David Orendorff, Todd Johnson, Yuanfeng Wang, Scott Christley, and Xiaohui Xie.

Host: S. Gnanakaran, 5-1923, ghana@lanl.gov