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A spectral methods-based solution of the Chemical Master Equation for gene regulatory networks
2012
2012 IEEE 51st IEEE Conference on Decision and Control (CDC)
We present a new method to approximate the time evolution of the probability density function (PDF) for molecule counts in gene regulatory networks, modeled by the Chemical Master Equation (CME). A key feature of our method is that molecular states can be aggregated to reduce the computational burden without the need for assumptions like time-scales separation. We observe that the CME is amenable to the use of spectral methods adapted from partial differential equations and our method results
doi:10.1109/cdc.2012.6425804
dblp:conf/cdc/NipHK12
fatcat:trlzx4lhfbbmxcfy6hwiighp6i