Computational Intelligence Methods for Bioinformatics and Biostatistics

8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 – July 2, 2011, Revised Selected Papers

ISBN: 978-3-642-35685-8 (Print) 978-3-642-35686-5 (Online)

Table of contents (21 chapters)

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  1. Front Matter

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  2. Invited Lectures

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      Pages 1-9

      Modelling the Effect of Genes on the Dynamics of Probabilistic Spiking Neural Networks for Computational Neurogenetic Modelling

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      Pages 10-20

      Biostatistics Meets Bioinformatics in Integrating Information from Highdimensional Heterogeneous Genomic Data: Two Examples from Rare Genetic Diseases and Infectious Diseases

  3. Statistical Learning

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      Pages 21-35

      Bayesian Models for the Multi-sample Time-Course Microarray Experiments

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      Pages 36-48

      A Machine Learning Pipeline for Discriminant Pathways Identification

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      Pages 49-60

      Discovering Hidden Pathways in Bioinformatics

  4. Genomics

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      Pages 61-72

      Reliability of miRNA Microarray Platforms: An Approach Based on Random Effects Linear Models

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      Pages 73-82

      A Bioinformatics Procedure to Identify and Annotate Somatic Mutations in Whole-Exome Sequencing Data

  5. Computational Intelligence for Health at the Edge

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      Pages 83-97

      Feature Selection for the Prediction and Visualization of Brain Tumor Types Using Proton Magnetic Resonance Spectroscopy Data

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      Pages 98-111

      On the Use of Graphical Models to Study ICU Outcome Prediction in Septic Patients Treated with Statins

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      Pages 112-126

      Integration of Biomolecular Interaction Data in a Genomic and Proteomic Data Warehouse to Support Biomedical Knowledge Discovery

  6. Proteomics

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      Pages 127-135

      Machine-Learning Methods to Predict Protein Interaction Sites in Folded Proteins

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      Pages 136-149

      Complementing Kernel-Based Visualization of Protein Sequences with Their Phylogenetic Tree

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      Pages 150-163

      DEEN: A Simple and Fast Algorithm for Network Community Detection

  7. Intelligent Clinical Decision Support Systems (i-CDSS)

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      Pages 164-175

      Self-similarity in Physiological Time Series: New Perspectives from the Temporal Spectrum of Scale Exponents

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      Pages 176-189

      Support Vector Machines for Survival Regression

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      Pages 190-200

      Boosted C5 Trees i-Biomarkers Panel for Invasive Bladder Cancer Progression Prediction

  8. Bioinformatics

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      Pages 201-212

      A Faster Algorithm for Motif Finding in Sequences from ChIP-Seq Data

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      Pages 213-225

      Case/Control Prediction from Illumina Methylation Microarray’s β and Two-Color Channels in the Presence of Batch Effects

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      Pages 226-237

      Supporting the Design, Communication and Management of Bioinformatic Protocols through the Leaf Tool

  9. Data Clustering

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      Pages 238-252

      Genomic Annotation Prediction Based on Integrated Information

  10. Back Matter

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