Modified K-leap method for stochastic simulation of genetic networks with small number of molecules

Zhouyi Xu, Xiaodong Cai

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

Abstract

Recently, stochasticity in gene expression has received much attention by both experimental and computational biologists. Several leap methods have been developed for efficient stochastic simulation of gene networks or more general chemically reacting systems. In this paper, we merge the advantages of both the modified .r-leap method and our recently developed K -leap method, and develop a modified K -leap method. Our simulations demonstrate that our new leap method can increase simulation speed while providing almost the same simulation accuracy for gene networks.

Original languageEnglish (US)
Title of host publication2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009
DOIs
StatePublished - Oct 7 2009
Event2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009 - Minneapolis, MN, United States
Duration: May 17 2009May 21 2009

Publication series

Name2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009

Other

Other2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009
CountryUnited States
CityMinneapolis, MN
Period5/17/095/21/09

ASJC Scopus subject areas

  • Molecular Biology
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

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