Graphical methods for analysing feedback in biological networks-A survey

Authors:
Nicole Radde;Nadav S. Bar;Murad Banaji
Affiliations:
Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart 70550, Germany;Department of Chemical Engineering, Norwegian University of Science and Technology, Trondheim 7491, Norway;Department of Mathematics, University College London, London, WC1E 6BT, UK,Department of Biological Sciences, University of Essex, Colchester, UK
Venue:
International Journal of Systems Science - Dynamics Analysis of Gene Regulatory Networks
Year:
2010

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Abstract

Observed phenotypes usually arise from complex networks of interacting cell components. Qualitative information about the structure of these networks is often available, while quantitative information may be partial or absent. It is natural then to ask what, if anything, we can learn about the behaviour of the system solely from its qualitative structure. In this article we review some techniques which can be applied to answer this question, focussing in particular on approaches involving graphical representations of model structure. By applying these techniques to various cellular network examples, we discuss their strengths and limitations, and point to future research directions.