Graphical methods for analysing feedback in biological networks – A survey

Radde, Nicole and Bar, Nadav S. and Banaji, Murad (2010) Graphical methods for analysing feedback in biological networks – A survey. International Journal of Systems Science, 41 (1). pp. 35-46. ISSN 0020-7721

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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.

Item Type:
Journal Article
Journal or Publication Title:
International Journal of Systems Science
Uncontrolled Keywords:
Research Output Funding/no_not_funded
Subjects:
?? no - not fundedcontrol and systems engineeringcomputer science applicationstheoretical computer science ??
ID Code:
233850
Deposited By:
Deposited On:
24 Nov 2025 16:20
Refereed?:
Yes
Published?:
Published
Last Modified:
26 Nov 2025 00:42