Stochastic modeling of gene expression and parameter estimation

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

Abstract

Recent advances in technology have enabled biologists to investigate gene expression in single cells. In such experimental investigations, it has been demonstrated that the numbers of mRNA and protein molecules expressed from a gene in a single cell are stochastic processes. While the stochasticity in gene expression, which is also referred to as gene expression noise by biologists, has recently attracted much attention of biologists, less attention has been paid to analyze the stochastic nature of gene expression based on a computational model. In this paper, we first analyze the mean and variance of the mRNA and protein molecules expressed from a gene based on a stochastic model. In this stochastic model, a gene randomly switches between two states: activated and repressed states and transcribed with different probability rates in these two states. We then investigate the estimation of model parameters based on the observed numbers of mRNA and protein molecules. Our computational approach can predict the behavior of gene expression in single cells.

Original languageEnglish (US)
Title of host publication2007 IEEE/SP 14th Workshop on Statistical Signal Processing, SSP 2007, Proceedings
Pages26-30
Number of pages5
DOIs
StatePublished - Dec 1 2007
Event2007 IEEE/SP 14th WorkShoP on Statistical Signal Processing, SSP 2007 - Madison, WI, United States
Duration: Aug 26 2007Aug 29 2007

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings

Other

Other2007 IEEE/SP 14th WorkShoP on Statistical Signal Processing, SSP 2007
CountryUnited States
CityMadison, WI
Period8/26/078/29/07

    Fingerprint

ASJC Scopus subject areas

  • Signal Processing

Cite this

Cai, X. (2007). Stochastic modeling of gene expression and parameter estimation. In 2007 IEEE/SP 14th Workshop on Statistical Signal Processing, SSP 2007, Proceedings (pp. 26-30). [4301211] (IEEE Workshop on Statistical Signal Processing Proceedings). https://doi.org/10.1109/SSP.2007.4301211