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Computational Intelligence Methods for Bioinformatics and Biostatistics

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

  • Elia Biganzoli
  • Alfredo Vellido
  • Federico Ambrogi
  • Roberto Tagliaferri
Conference proceedings CIBB 2011

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7548)

Also part of the Lecture Notes in Bioinformatics book sub series (LNBI, volume 7548)

Table of contents

  1. Front Matter
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  2. Invited Lectures

    1. Modelling the Effect of Genes on the Dynamics of Probabilistic Spiking Neural Networks for Computational Neurogenetic Modelling
      Nikola Kasabov, Stefan Schliebs, Ammar Mohemmed
      Pages 1-9
    2. Biostatistics Meets Bioinformatics in Integrating Information from Highdimensional Heterogeneous Genomic Data: Two Examples from Rare Genetic Diseases and Infectious Diseases
      Clelia Di Serio, Danilo Pellin, Alessandro Ambrosi, Ingrid Glad, Arnoldo Frigessi
      Pages 10-20

  3. Statistical Learning

    1. Bayesian Models for the Multi-sample Time-Course Microarray Experiments
      Claudia Angelini, Daniela De Canditiis, Marianna Pensky, Naomi Brownstein
      Pages 21-35
    2. A Machine Learning Pipeline for Discriminant Pathways Identification
      Annalisa Barla, Giuseppe Jurman, Roberto Visintainer, Margherita Squillario, Michele Filosi, Samantha Riccadonna et al.
      Pages 36-48
    3. Discovering Hidden Pathways in Bioinformatics
      Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Simon J. Chambers, Davide Bacciu, Joe Whittaker et al.
      Pages 49-60

  4. Genomics

    1. Reliability of miRNA Microarray Platforms: An Approach Based on Random Effects Linear Models
      Niccolò Bassani, Federico Ambrogi, Cristina Battaglia, Elia Biganzoli
      Pages 61-72
    2. A Bioinformatics Procedure to Identify and Annotate Somatic Mutations in Whole-Exome Sequencing Data
      Roberta Spinelli, Rocco Piazza, Alessandra Pirola, Simona Valletta, Roberta Rostagno, Angela Mogavero et al.
      Pages 73-82

  5. Computational Intelligence for Health at the Edge

    1. Feature Selection for the Prediction and Visualization of Brain Tumor Types Using Proton Magnetic Resonance Spectroscopy Data
      Félix Fernando González-Navarro, Lluís A. Belanche-Muñoz
      Pages 83-97
    2. On the Use of Graphical Models to Study ICU Outcome Prediction in Septic Patients Treated with Statins
      Vicent J. Ribas, Jesús Caballero López, Anna Sáez de Tejada, Juan Carlos Ruiz-Rodríguez, Adolfo Ruiz-Sanmartín, Jordi Rello et al.
      Pages 98-111
    3. Integration of Biomolecular Interaction Data in a Genomic and Proteomic Data Warehouse to Support Biomedical Knowledge Discovery
      Arif Canakoglu, Giorgio Ghisalberti, Marco Masseroli
      Pages 112-126

  6. Proteomics

    1. Machine-Learning Methods to Predict Protein Interaction Sites in Folded Proteins
      Castrense Savojardo, Piero Fariselli, Damiano Piovesan, Pier Luigi Martelli, Rita Casadio
      Pages 127-135
    2. Complementing Kernel-Based Visualization of Protein Sequences with Their Phylogenetic Tree
      Martha Ivón Cárdenas, Alfredo Vellido, Iván Olier, Xavier Rovira, Jesús Giraldo
      Pages 136-149
    3. DEEN: A Simple and Fast Algorithm for Network Community Detection
      Pavol Jancura, Dimitrios Mavroeidis, Elena Marchiori
      Pages 150-163

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

    1. Self-similarity in Physiological Time Series: New Perspectives from the Temporal Spectrum of Scale Exponents
      Paolo Castiglioni
      Pages 164-175
    2. Support Vector Machines for Survival Regression
      Antonio Eleuteri, Azzam F. G. Taktak
      Pages 176-189
    3. Boosted C5 Trees i-Biomarkers Panel for Invasive Bladder Cancer Progression Prediction
      Alexandru George Floares, Irina Luludachi, Colin Dinney, Liana Adam
      Pages 190-200

  8. Bioinformatics

    1. A Faster Algorithm for Motif Finding in Sequences from ChIP-Seq Data
      Federico Zambelli, Giulio Pavesi
      Pages 201-212
    2. Case/Control Prediction from Illumina Methylation Microarray’s β and Two-Color Channels in the Presence of Batch Effects
      Fabrice Colas, Jeanine J. Houwing-Duistermaat
      Pages 213-225
    3. Supporting the Design, Communication and Management of Bioinformatic Protocols through the Leaf Tool
      Francesco Napolitano, Roberto Tagliaferri
      Pages 226-237

  9. Data Clustering

    1. Genomic Annotation Prediction Based on Integrated Information
      Davide Chicco, Marco Tagliasacchi, Marco Masseroli
      Pages 238-252
    2. Solving Biclustering with a GRASP-Like Metaheuristic: Two Case-Studies on Gene Expression Analysis
      Angelo Facchiano, Paola Festa, Anna Marabotti, Luciano Milanesi, Francesco Musacchia
      Pages 253-267
  10. Back Matter
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About these proceedings

Introduction

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.

Keywords

biomolecular databases combinatorial optimization gene expression analysis machine learning protein sequence

Editors and affiliations

  • Elia Biganzoli
    • 1
  • Alfredo Vellido
    • 2
  • Federico Ambrogi
    • 1
  • Roberto Tagliaferri
    • 3
  1. 1.Department of Clinical Sciences and CommunityUniversity of MilanMilanItaly
  2. 2.Dpto. de Lenguajes y Sistemas Informáticos (LSI)Universidad Politecnica de la CatalunyaBarcelonaSpain
  3. 3.Department of Mathematics and Information SciencesUniversity of SalernoFiscianoItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-35686-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-35685-8
  • Online ISBN 978-3-642-35686-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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