Titlebook: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics; 8th European Confere Clara Pizzuti,Marylyn D. Ritchie,Mario G

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Correlation–Based Scatter Search for Discovering Biclusters from Gene Expression Datasents a Scatter Search with the aim of finding biclusters from gene expression data. However, biclusters with certain patterns are more interesting from a biological point of view. Therefore, the proposed Scatter Search uses a measure based on linear correlations among genes to evaluate the quality

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A Local Search Appproach for Transmembrane Segment and Signal Peptide Discriminationts and signal peptides because they have common biochemical properties. In this paper, we introduce a new predictive method called LSTranslocon (Local Search Translocon) based on a Local Search methodology. The method takes advantage of the latest knowledge in the field to model the biological behav

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Using Probabilistic Dependencies Improves the Search of Conductance-Based Compartmental Neuron Modelre a number of parameters to be adjusted to biological experimental data and this question can be posed as an optimization problem. In this paper we investigate the behavior of different estimation of distribution algorithms (EDAs) for this problem. We focus on studying the influence that the intera

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The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms s difficult because common diseases are likely the result of joint failure of two or more interacting components instead of single component failures. Efficient algorithms that can detect interacting attributes are needed. The Relief family of machine learning algorithms, which use nearest neighbors

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Artificial Immune Systems for Epistasis Analysis in Human Geneticsto keep pace with this increase. In order to allow personal genomics to play a vital role in modern health care, analysis methods capable of discovering high order interactions that contribute to an individual’s risk of disease must be developed. An artificial immune system (AIS) is a method which m

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Metaheuristics for Strain Optimization Using Transcriptional Information Enriched Metabolic Modelsstrial interest is a big challenge in Metabolic Engineering. Evolutionary Algorithms and Simulated Annealing have been used in this task to identify sets of reaction deletions, towards the maximization of a desired objective function. To simulate the cell phenotype for each mutant strain, the Flux B

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Using Rotation Forest for Protein Fold Prediction Problem: An Empirical Studylem. In this paper, a newly introduced method called Rotation Forest for building ensemble of classifiers based on bootstrap sampling and feature extraction is implemented and applied to challenge this problem. The Rotation Forest is a straight forward extension of bagging algorithms which aims to p

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https://doi.org/10.1007/978-94-6265-595-9hod combines an Evolutionary Algorithm with Variable Neighborhood Search. Experimental results show that the algorithm is able to achieve good results, in terms of energy optimization and RMSD values for several molecules when compared with previous approaches. In addition, when hybridized with the