Qualitative analysis of the relation between DNA microarray data and behavioral models of regulation networks - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles BioSystems Year : 2006

Qualitative analysis of the relation between DNA microarray data and behavioral models of regulation networks

Abstract

We introduce a mathematical framework that allows to test the compatibility between differential data and knowledge on genetic and metabolic interactions. Within this framework a behavioral model is represented by a labeled oriented interaction graph; its predictions can be compared to experimental data. The comparison is qualitative and relies on a system of linear qualitative equations derived from the interaction graph. We show how to partially solve the qualitative system, how to identify incompatibilities between the model and the data, and how to detect competitions in the biological processes that are modeled. This approach can be used for the analysis of transcriptomic, metabolic or proteomic data.
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Dates and versions

inria-00178809 , version 1 (12-10-2007)

Identifiers

  • HAL Id : inria-00178809 , version 1

Cite

Anne Siegel, Ovidiu Radulescu, Michel Le Borgne, Philippe Veber, Julien Ouy, et al.. Qualitative analysis of the relation between DNA microarray data and behavioral models of regulation networks. BioSystems, 2006, 84, pp.153-174. ⟨inria-00178809⟩
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