Computational Intelligence Methods for Bioinformatics and Biostatistics [recurso electrónico] 10th International Meeting, CIBB 2013, Nice, France, June 20-22, 2013, Revised Selected Papers

This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2013, held in Nice, France in June 2013. The 19 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on bioinformatics, biostatistics, knowledge based medicine, and data integration and analysis in omic-science. Front Matter....Pages I-XIII Front Matter....Pages 1-1 Dynamic Gaussian Graphical Models for Modelling Genomic Networks....Pages 3-12 Front Matter....Pages 13-13 Molecular Docking for Drug Discovery: Machine-Learning Approaches for Native Pose Prediction of Protein-Ligand Complexes....Pages 15-32 BioCloud Search EnGene: Surfing Biological Data on the Cloud....Pages 33-48 Genomic Sequence Classification Using Probabilistic Topic Modeling....Pages 49-61 Community Detection in Protein-Protein Interaction Networks Using Spectral and Graph Approaches....Pages 62-75 Weighting Scheme Methods for Enhanced Genomic Annotation Prediction....Pages 76-89 French Flag Tracking by Morphogenetic Simulation Under Developmental Constraints....Pages 90-106 Front Matter....Pages 107-107 High–Dimensional Sparse Matched Case–Control and Case–Crossover Data: A Review of Recent Works, Description of an R Tool and an Illustration of the Use in Epidemiological Studies....Pages 109-124 Piecewise Exponential Artificial Neural Networks (PEANN) for Modeling Hazard Function with Right Censored Data....Pages 125-136 Writing Generation Model for Health Care Neuromuscular System Investigation....Pages 137-148 Clusters Identification in Binary Genomic Data: The Alternative Offered by Scan Statistics Approach....Pages 149-158 Front Matter....Pages 159-159 Reverse Engineering Methodology for Bioinformatics Based on Genetic Programming, Differential Expression Analysis and Other Statistical Methods....Pages 161-177 Integration of Clinico-Pathological and microRNA Data for Intelligent Breast Cancer Relapse Prediction Systems....Pages 178-193 Superresolution MUSIC Based on Marčenko-Pastur Limit Distribution Reduces Uncertainty and Improves DNA Gene Expression-Based Microarray Classification....Pages 194-209 Front Matter....Pages 211-211 Prediction of Single-Nucleotide Polymorphisms Causative of Rare Diseases....Pages 213-224 A Framework for Mining Life Sciences Data on the Semantic Web in an Interactive, Graph-Based Environment....Pages 225-237 Combining Not-Proper ROC Curves and Hierarchical Clustering to Detect Differentially Expressed Genes in Microarray Experiments....Pages 238-247 Fast and Parallel Algorithm for Population-Based Segmentation of Copy-Number Profiles....Pages 248-258 Identification of Pathway Signatures in Parkinson’s Disease with Gene Ontology and Sparse Regularization....Pages 259-273 Back Matter....Pages 275-275