K-leap method for stochastic simulation of gene expression

Xiaodong Cai, Zhouyi Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we develop a K-leap method for accelerating stochastic simulation. Compared to the τ-leap method of Gillespie and the τ-leap method with efficient step size selection of Cao et al., our simulation method is faster and more accurate.

Original languageEnglish (US)
Title of host publication2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006
Pages81-82
Number of pages2
DOIs
StatePublished - Dec 1 2006
Event2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006 - College Station, TX, United States
Duration: May 28 2006May 30 2006

Publication series

Name2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006

Other

Other2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006
CountryUnited States
CityCollege Station, TX
Period5/28/065/30/06

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Statistics and Probability

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  • Cite this

    Cai, X., & Xu, Z. (2006). K-leap method for stochastic simulation of gene expression. In 2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006 (pp. 81-82). [4161787] (2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006). https://doi.org/10.1109/GENSIPS.2006.353166