Search For:

Displaying 1-2 out of 2 total
Stochastic Model Simulation Using Kronecker Product Analysis and Zassenhaus Formula Approximation
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Mehmet Umut Caglar,Ranadip Pal
Issue Date:September 2013
pp. 1125-1136
Probabilistic Models are regularly applied in Genetic Regulatory Network modeling to capture the stochastic behavior observed in the generation of biological entities such as mRNA or proteins. Several approaches including Stochastic Master Equations and Pr...
 
Stochastic Model Simulation Using Kronecker Product Analysis and Zassenhaus Formula Approximation
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Mehmet Umut Caglar, Ranadip Pal
Issue Date:September 2013
pp. 1125-1136
Probabilistic Models are regularly applied in Genetic Regulatory Network modeling to capture the stochastic behavior observed in the generation of biological entities such as mRNA or proteins. Several approaches including Stochastic Master Equations and Pr...
     
 1