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Content Provider | IEEE Xplore Digital Library |
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Author | Terebus, A. Youfang Cao Jie Liang |
Copyright Year | 2014 |
Description | Author affiliation: Fac. of Dept. of Bioeng., Univ. of Illinois at Chicago, Chicago, IL, USA (Jie Liang) || Dept. of Bioeng., Univ. of Illinois at Chicago, Chicago, IL, USA (Terebus, A.; Youfang Cao) |
Abstract | Gene regulatory networks depict the interactions between genes, proteins, and other components of the cell. These interactions often are stochastic that can influence behavior of the cells. Discrete Chemical Master Equation (dCME) provides a general framework for understanding the stochastic nature of these networks. However solving dCME is challenging due to the enormous state space, one effective approach is to study the behavior of individual modules of the stochastic network. Here we used the finite buffer dCME method and directly calculated the exact steady state probability landscape for the two stochastic networks of Single Input and Coupled Toggle Switch Modules. The first example is a switch network consisting of three genes, and the second example is a double switching network consisting of four coupled genes. Our results show complex switching behavior of these networks can be quantified. |
Sponsorship | IEEE Eng. Med. Biol. Soc. |
Starting Page | 5228 |
Ending Page | 5231 |
File Size | 764940 |
Page Count | 4 |
File Format | |
ISBN | 9781424479290 |
ISSN | 1557170X |
DOI | 10.1109/EMBC.2014.6944804 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-08-26 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Proteins Steady-state Switches Stochastic processes Mathematical model Chemicals Equations |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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