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Checking Consistency Between Expression Data and Large Scale Regulatory Networks: A Case Study

Carito Guziolowski 1 Philippe Veber 1 Michel Le Borgne 1 Ovidiu Radulescu 1 Anne Siegel 1
1 SYMBIOSE - Biological systems and models, bioinformatics and sequences
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : We proposed in previous articles a qualitative approach to check the compatibility between a model of interactions and gene expression data. The purpose of the present work is to validate this methodology on a real-size setting. We study the response of Escherichia coli regulatory network to nutritional stress, and compare it to publicly available DNA microarray experiments. We show how the incompatibilities we found reveal missing interactions in the network, as well as observations in contradiction with available literature.
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https://hal.inria.fr/inria-00145537
Contributor : Carito Guziolowski <>
Submitted on : Thursday, May 10, 2007 - 6:44:08 PM
Last modification on : Monday, October 28, 2019 - 2:48:06 PM
Document(s) archivé(s) le : Wednesday, April 7, 2010 - 1:20:32 AM

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  • HAL Id : inria-00145537, version 1

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Carito Guziolowski, Philippe Veber, Michel Le Borgne, Ovidiu Radulescu, Anne Siegel. Checking Consistency Between Expression Data and Large Scale Regulatory Networks: A Case Study. [Research Report] 2007, pp.14. ⟨inria-00145537v1⟩

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