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Computational Intelligence Methods for Bioinformatics and Biostatistics

11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014, Revised Selected Papers

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Clelia DI Serio

    1. CUSSB, University "Vita-Salute" San Raffae, Milano, Italy

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  2. Pietro Liò

    1. The Computer Laboratory, University of Cambridge, Cambridge, United Kingdom

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  3. Alessandro Nonis

    1. CUSSB, Università Vita-Salute San Raffaele, Milano, Italy

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  4. Roberto Tagliaferri

    1. Dipartimento di Informatica, Universitá degli Studi di Salerno, Fisciano, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8623)

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

Included in the following conference series:

Conference proceedings info: CIBB 2014.

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Table of contents (26 papers)

  1. Front Matter

    Pages I-XIII
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  2. Regular Sessions

    1. Front Matter

      Pages 1-1
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    2. GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations

      • Giuseppe Agapito, Mario Cannataro, Pietro H. Guzzi, Marianna Milano
      Pages 3-18

    3. Extended Spearman and Kendall Coefficients for Gene Annotation List Correlation

      • Davide Chicco, Eleonora Ciceri, Marco Masseroli
      Pages 19-32

    4. Statistical Analysis of Protein Structural Features: Relationships and PCA Grouping

      • E. Del Prete, S. Dotolo, A. Marabotti, A. Facchiano
      Pages 33-43

    5. Exploring the Relatedness of Gene Sets

      • Nicoletta Dessì, Stefania Dessì, Emanuele Pascariello, Barbara Pes
      Pages 44-56

    6. Consensus Clustering in Gene Expression

      • Paola Galdi, Francesco Napolitano, Roberto Tagliaferri
      Pages 57-67

    7. Automated Detection of Fluorescent Probes in Molecular Imaging

      • Fiona Kathryn Hamey, Yoli Shavit, Valdone Maciulyte, Christopher Town, Pietro Liò, Sabrina Tosi
      Pages 68-75

    8. Applications of Network-based Survival Analysis Methods for Pathways Detection in Cancer

      • Antonella Iuliano, Annalisa Occhipinti, Claudia Angelini, Italia De Feis, Pietro Lió
      Pages 76-88

    9. Improving Literature-Based Discovery with Advanced Text Mining

      • Anna Korhonen, Yufan Guo, Simon Baker, Meliha Yetisgen-Yildiz, Ulla Stenius, Masashi Narita et al.
      Pages 89-98

    10. A New Feature Selection Methodology for K-mers Representation of DNA Sequences

      • Giosuè Lo Bosco, Luca Pinello
      Pages 99-108

    11. Detecting Overlapping Protein Communities in Disease Networks

      • Hassan Mahmoud, Francesco Masulli, Stefano Rovetta, Giuseppe Russo
      Pages 109-120

    12. Approximate Abelian Periods to Find Motifs in Biological Sequences

      • Juan Mendivelso, Camilo Pino, Luis F. Niño, Yoan Pinzón
      Pages 121-130

    13. Sem Best Shortest Paths for the Characterization of Differentially Expressed Genes

      • Daniele Pepe, Fernando Palluzzi, Mario Grassi
      Pages 131-141

    14. The General Regression Neural Network to Classify Barcode and mini-barcode DNA

      • Riccardo Rizzo, Antonino Fiannaca, Massimo La Rosa, Alfonso Urso
      Pages 142-155

    15. Transcriptator: Computational Pipeline to Annotate Transcripts and Assembled Reads from RNA-Seq Data

      • Kumar Parijat Tripathi, Daniela Evangelista, Raffaele Cassandra, Mario R. Guarracino
      Pages 156-169

    16. Application of a New Ridge Estimator of the Inverse Covariance Matrix to the Reconstruction of Gene-Gene Interaction Networks

      • Wessel N. van Wieringen, Carel F. W. Peeters
      Pages 170-179

  3. Special session: Computational Biostatistics For Data Integration In Systems Biomedicine

    1. Front Matter

      Pages 181-181
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    2. Estimation of a Piecewise Exponential Model by Bayesian P-splines Techniques for Prognostic Assessment and Prediction

      • Giuseppe Marano, Patrizia Boracchi, Elia M. Biganzoli
      Pages 183-198

    3. Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures

      • Daniel Urda, Simon Chambers, Ian Jarman, Paulo Lisboa, Leonardo Franco, Jose M. Jerez
      Pages 199-206
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  1. Computational Intelligence Methods for Bioinformatics and Biostatistics

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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2014, held in Cambridge, UK, in June 2014.
The 25 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers focus problems concerning computational techniques in bioinformatics, systems biology, medical informatics and biostatistics.

Editors and Affiliations

  • CUSSB, University "Vita-Salute" San Raffae, Milano, Italy

    Clelia DI Serio

  • The Computer Laboratory, University of Cambridge, Cambridge, United Kingdom

    Pietro Liò

  • CUSSB, Università Vita-Salute San Raffaele, Milano, Italy

    Alessandro Nonis

  • Dipartimento di Informatica, Universitá degli Studi di Salerno, Fisciano, Italy

    Roberto Tagliaferri

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