| Literature DB >> 16556482 |
A Siegel1, O Radulescu, M Le Borgne, P Veber, J Ouy, S Lagarrigue.
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.Mesh：
Substances：
Year: 2006 PMID： 16556482 DOI： 10.1016/j.biosystems.2005.10.006
Source DB: PubMed Journal: Biosystems ISSN： 0303-2647 Impact factor: 1.973