Asymptotic and numerical methods for metastable events in stochastic gene networks

  title={Asymptotic and numerical methods for metastable events in stochastic gene networks},
  author={Jay M. Newby},
  journal={arXiv: Molecular Networks},
  • J. Newby
  • Published 11 November 2014
  • Mathematics
  • arXiv: Molecular Networks
A general class of stochastic gene expression models with self regulation is considered. One or more genes randomly switch between regulatory states, each having a different mRNA transcription rate. The gene or genes are self regulating when the proteins they produce affect the rate of switching between regulatory states. Under weak noise conditions, the deterministic forces are much stronger than fluctuations from gene switching and protein synthesis. Metastable transitions, such as bistable… 
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