Stochastic analysis of autoregulatory gene expression dynamics

T. Ochiai and J. C. Nacher

Mathematical and Computer Modelling of Dynamical Systems, 2007, vol. 14, issue 4, 377-388

Abstract: In this work, the autoregulatory genetic module is investigated by using stochastic theory. We show here that the stochastic effect of the second order perturbation theory further reduces the fluctuation size of the gene expression level more than what is expected in deterministic methods. Furthermore, dynamical aspects of the system were investigated. In particular, we estimated the time needed to reach the equilibrium state.

Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/13873950801972186 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:nmcmxx:v:14:y:2007:i:4:p:377-388

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/NMCM20

DOI: 10.1080/13873950801972186

Access Statistics for this article

Mathematical and Computer Modelling of Dynamical Systems is currently edited by I. Troch

More articles in Mathematical and Computer Modelling of Dynamical Systems from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().