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School of Computing and Mathematics, University of Ulster. Jordanstown, United Kingdom.

This research line consists in the study of artificial intelligence techniques to infer gene regulatory networks from gene expression data, and to apply software engineering tools to visualize and model such networks. In particular, we are working in the inference of time delay association rules among genes combining adaptive discretization of microarray data with intelligent classification methods, in order to infer complex functional regulation associations. We are also working in the incorporation of another type of biological data sources to the inference process. As a second phase of this research, we will work in the adaptation of model checking techniques for the verification and evaluation of biological hypothesis about the networks behaviors. Our long-term objective is the development of an integrative bioinformatic tool for the inference, modelling and study of gene regulatory mechanism.