Journal
BIOSYSTEMS
Volume 84, Issue 2, Pages 153-174Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.biosystems.2005.10.006
Keywords
systems biology; qualitative analysis; steady state shift; sign algebra
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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. (c) 2005 Elsevier Ireland Ltd. All rights reserved.
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