- Conference Paper
This work concerns the identification of the structure of a genetic network model from measurements of gene product concentrations and synthesis rates. In earlier work, for a wide family of network models, we developed a data preprocessing algorithm that is able to reject many hypotheses on the network structure by testing certain monotonicity properties of the models. Here we develop a geometric analysis of the method. Then, for a relevant subclass of genetic network models, we extend our approach to the combined testing of monotonicity and convexity-like properties associated with the network structures. Theoretical achievements as well as performance of the enhanced methods are illustrated by way of numerical results. Show more
Book titleProceedings of the 18th World Congress
Journal / seriesIFAC Proceedings Volumes
Pages / Article No.
SubjectBiology; Identification; Quasiconvexity; Unate functions; Sigmoidal activation functions.
Organisational unit03751 - Lygeros, John / Lygeros, John
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