Titlebook: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics; 5th European Confere Elena Marchiori,Jason H. Moore,Jagath C.

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asets. Moreover, the optimal classification rules generated are characterized by a strong generalization capability, as shown by their accuracy in predicting the HIV protease cleavable status of peptides in out-of-sample datasets.

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Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization,atures. The method makes use of multiobjective techniques to evaluate the performance of profiles, and has a multimodal approach to produce alternative descriptions of same expression target. We apply this method to probe the regulatory networks governed by the PhoP/PhoQ two-component system in the

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Modeling the Shoot Apical Meristem in ,: Parameter Estimation for Spatial Pattern Formation, such that a particular stable pattern over the SAM cell population emerges. To this end, we propose an evolutionary algorithm-based approach and investigate different ways to improve the efficiency of the search process. Preliminary results are presented for the Brusselator, a well-known reaction-d

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A Gaussian Evolutionary Method for Predicting Protein-Protein Interaction Sites,ccessful if 50% predicted area is indeed located in protein-protein interface (i.e. the specificity is more than 0.5). We believe that the optimized parameters of our method are useful for analyzing protein-protein interfaces and for interfaces prediction methods and protein-protein docking methods.