The rapid advancements in high-throughput techniques have fueled large-scale production
of biological data at very affordable costs. Some of these techniques are microarrays and …

This review article aims to provide an overview of the ways in which techniques from artificial
intelligence can be usefully employed in bioinformatics, both for modelling biological data …

Background Microarray experiments are generating datasets that can help in reconstructing
gene networks. One of the most important problems in network reconstruction is finding, for …

Gene regulatory networks model regulation in living organisms. Fuzzy logic can effectively
model gene regulation and interaction to accurately reflect the underlying biology. A new …

Background The size and complexity of published biochemical network reconstructions are
steadily increasing, expanding the potential scale of derived computational models …

Thanks to recent advances in molecular biology, allied to an ever increasing amount of
experimental data, the functional state of thousands of genes can now be extracted …

This paper introduces a novel neural fuzzy inference method-NFI for transductive reasoning
systems. NFI develops further some ideas from DENFIS-dynamic neuro-fuzzy inference …

Clustering large datasets is a challenging data mining task with many real life applications.
Much research has been devoted to the problem offinding subspace clusters 2, 3, 4, 7, 11. In …

In this paper, the dynamic fuzzy modeling approach is applied for modeling genetic
regulatory networks from gene expression data. The parameters of the dynamic fuzzy model …

We introduce a coordination index in regulatory Boolean networks and we expose the
maximal coordination principle (MCP), according to which a cohesive society reaches the …