Computational Intelligence Methods for Bioinformatics and Biostatistics [recurso electrónico] 8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 – July 2, 2011, Revised Selected Papers

This Book Constitutes The Thoroughly Refereed Post-proceedings Of The 8th International Meeting On Computational Intelligence Methods For Bioinformatics And Biostatistics, Cibb 2011, Held In Gargnano Del Garda, Italy, In June/july 2011. The 19 Papers, Presented Together With 2 Keynote Speeches, Were Carefully Reviewed And Selected From 24 Submissions. The Papers Are Organized In Topical Sections On Statistical Learning, Genomics, Computational Intelligence For Health At The Edge, Proteomics, Intelligent Clinical Decision Support Systems (i-cdss), Bioinformatics, And Data Clustering. Modelling The Effect Of Genes On The Dynamics Of Probabilistic Spiking Neural Networks For Computational Neurogenetic -- Biostatistics Meets Bioinformatics In Integrating Information From Highdimensional Heterogeneous Genomic Data: Two Examples From Rare Genetic Diseases And Infectious Diseases -- Bayesian Models For The Multi-sample Time-course Microarray Experiments -- A Machine Learning Pipeline For Discriminant Pathways Identification -- Discovering Hidden Pathways In Bioinformatics -- Reliability Of Mirna Microarray Platforms: An Approach Based On Random Effects Linear Models -- A Bioinformatics Procedure To Identify And Annotate Somatic Mutations In Whole-exome Sequencing Data -- Feature Selection For The Prediction And Visualization Of Brain Tumor Types Using Proton Magnetic Resonance Spectroscopy Data -- On The Use Of Graphical Models To Study Icu Outcome Prediction In Septic Patients Treated With Statins --^ Integration Of Biomolecular Interaction Data In A Genomic And Proteomic Data Warehouse To Support Biomedical Knowledge Discovery -- Machine-learning Methods To Predict Protein Interaction Sites In Folded Proteins -- Complementing Kernel-based Visualization Of Protein Sequences With Their Phylogenetic Tree -- Deen: A Simple And Fast Algorithm For Network Community Detection -- Self-similarity In Physiological Time Series: New Perspectives From The Temporal Spectrum Of Scale Exponents -- Support Vector Machines For Survival Regression -- Boosted C5 Trees I-biomarkers Panel For Invasive Bladder Cancer Progression Prediction -- A Faster Algorithm For Motif Finding In Sequences From Chip-seq Data -- Case/control Prediction From Illumina Methylation Microarray’s β And Two-color Channels In The Presence Of Batch Effects -- Supporting The Design, Communication And Management Of Bioinformatic Protocols Through The Leaf Tool -- Genomic Annotation Prediction Based On Integrated Information --^ Solving Biclustering With A Grasp-like Metaheuristic: Two Case-studies On Gene Expression Analysis. Edited By Elia Biganzoli, Alfredo Vellido, Federico Ambrogi, Roberto Tagliaferri. Front Matter....Pages - Modelling the Effect of Genes on the Dynamics of Probabilistic Spiking Neural Networks for Computational Neurogenetic Modelling....Pages 1-9 Biostatistics Meets Bioinformatics in Integrating Information from Highdimensional Heterogeneous Genomic Data: Two Examples from Rare Genetic Diseases and Infectious Diseases....Pages 10-20 Bayesian Models for the Multi-sample Time-Course Microarray Experiments....Pages 21-35 A Machine Learning Pipeline for Discriminant Pathways Identification....Pages 36-48 Discovering Hidden Pathways in Bioinformatics....Pages 49-60 Reliability of miRNA Microarray Platforms: An Approach Based on Random Effects Linear Models....Pages 61-72 A Bioinformatics Procedure to Identify and Annotate Somatic Mutations in Whole-Exome Sequencing Data....Pages 73-82 Feature Selection for the Prediction and Visualization of Brain Tumor Types Using Proton Magnetic Resonance Spectroscopy Data....Pages 83-97 On the Use of Graphical Models to Study ICU Outcome Prediction in Septic Patients Treated with Statins....Pages 98-111 Integration of Biomolecular Interaction Data in a Genomic and Proteomic Data Warehouse to Support Biomedical Knowledge Discovery....Pages 112-126 Machine-Learning Methods to Predict Protein Interaction Sites in Folded Proteins....Pages 127-135 Complementing Kernel-Based Visualization of Protein Sequences with Their Phylogenetic Tree....Pages 136-149 DEEN: A Simple and Fast Algorithm for Network Community Detection....Pages 150-163 Self-similarity in Physiological Time Series: New Perspectives from the Temporal Spectrum of Scale Exponents....Pages 164-175 Support Vector Machines for Survival Regression....Pages 176-189 Boosted C5 Trees i-Biomarkers Panel for Invasive Bladder Cancer Progression Prediction....Pages 190-200 A Faster Algorithm for Motif Finding in Sequences from ChIP-Seq Data....Pages 201-212 Case/Control Prediction from Illumina Methylation Microarray’s β and Two-Color Channels in the Presence of Batch Effects....Pages 213-225 Supporting the Design, Communication and Management of Bioinformatic Protocols through the Leaf Tool....Pages 226-237 Genomic Annotation Prediction Based on Integrated Information....Pages 238-252 Solving Biclustering with a GRASP-Like Metaheuristic: Two Case-Studies on Gene Expression Analysis....Pages 253-267 Back Matter....Pages -