2011Zhao Systems Biology - Differential Equations - Survey

By D. I. Zhao

Computational Analysis and Modeling, Louisiana Tech University Ruston, LA USA

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Abstract

Zhao, D. I. 2011. Differential Equation Models for  Systems Biology:  A Survey. Computational Analysis and Modeling, Lousiana Tech University, Ruston LA USA.  30 pp. http://www.advancedcomputing.cn/sys_bio_review.pdf . Accessed 22 June 2015.

Abstract:  In this paper, we will review the current progress of modeling systems biology by differential equations including ordinary differential equation (ODE), partial differential equation (PDE) and stochastic differential equation (SDE). Also, we will discuss related issues including model selection, parameter estimation, model checking and software.

 

Moreover, there is a 12 page very comprehensive bibliography to support the notions of the work and to enable the reader to explore many more ideas and applications.

 

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Researchers should cite this work as follows:

  • D. I. Zhao (2015), "2011Zhao Systems Biology - Differential Equations - Survey," https://simiode.org/resources/984.

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