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Updated: Jul 31, 2026

DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning
Published on: March 15, 2011
Qualitative analysis of the relation between DNA microarray data and behavioral models of regulation networks
A Siegel1, O Radulescu, M Le Borgne
1IRISA, Symbiose, Campus de Beaulieu, 35042 Rennes Cedex, France. anne.siegel@irisa.fr
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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