Title :
K-leap method for stochastic simulation of gene expression
Author :
Cai, Xiaodong ; Xu, Zhouyi
Author_Institution :
Dept of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL
Abstract :
In this paper, we develop a K-leap method for accelerating stochastic simulation. Compared to the tau-leap method of Gillespie and the tau-leap method with efficient step size selection of Cao et al., our simulation method is faster and more accurate.
Keywords :
biology computing; genetics; stochastic processes; K-leap method; gene expression; tau-leap method; Acceleration; Chemicals; Computational modeling; Computer simulation; Electronic mail; Fires; Gene expression; Random variables; Stochastic processes; Tin;
Conference_Titel :
Genomic Signal Processing and Statistics, 2006. GENSIPS '06. IEEE International Workshop on
Conference_Location :
College Station, TX
Print_ISBN :
1-4244-0384-7
Electronic_ISBN :
1-4244-0385-5
DOI :
10.1109/GENSIPS.2006.353166
