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 language | English (US) |
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| Title of host publication | 2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006 |
| Pages | 81-82 |
| Number of pages | 2 |
| DOIs | |
| State | Published - Dec 1 2006 |
| Event | 2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006 - College Station, TX, United States Duration: May 28 2006 → May 30 2006 |
Publication series
| Name | 2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006 |
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Other
| Other | 2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006 |
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| Country | United States |
| City | College Station, TX |
| Period | 5/28/06 → 5/30/06 |
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