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Computational Intelligence Methods for Bioinformatics and Biostatistics

12th International Meeting, CIBB 2015, Naples, Italy, September 10-12, 2015, Revised Selected Papers

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Claudia Angelini

    1. CNR, Istituto per le Applicazioni del Calcolo, Naples, Italy

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  2. Paola MV Rancoita

    1. Center for Statistics in the Biomedical Sciences, Vita-Salute San Raffaele University, Milano, Italy

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    You can also search for this editor in PubMed   Google Scholar

  3. Stefano Rovetta

    1. DIBRIS, University of Genoa, Genova, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9874)

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

Included in the following conference series:

Conference proceedings info: CIBB 2015.

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Table of contents (21 papers)

  1. Front Matter

    Pages I-XII
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  2. A Commentary on a Censored Regression Estimator

    • Antonio Eleuteri
    Pages 1-13

  3. Selecting Random Effect Components in a Sparse Hierarchical Bayesian Model for Identifying Antigenic Variability

    • Vinny Davies, Richard Reeve, William T. Harvey, Dirk Husmeier
    Pages 14-27

  4. Comparison of Gene Expression Signature Using Rank Based Statistical Inference

    • Kumar Parijat Tripathi, Sonali Gopichand Chavan, Seetharaman Parashuraman, Marina Piccirillo, Sara Magliocca, Mario Rosario Guarracino
    Pages 28-41

  5. Managing NGS Differential Expression Uncertainty with Fuzzy Sets

    • Arianna Consiglio, Corrado Mencar, Giorgio Grillo, Sabino Liuni
    Pages 42-53

  6. Module Detection in Dynamic Networks by Temporal Edge Weight Clustering

    • Paola Lecca, Angela Re
    Pages 54-70

  7. A Novel Technique for Reduction of False Positives in Predicted Gene Regulatory Networks

    • Abhinandan Khan, Goutam Saha, Rajat Kumar Pal
    Pages 71-83

  8. Unsupervised Trajectory Inference Using Graph Mining

    • Leen De Baets, Sofie Van Gassen, Tom Dhaene, Yvan Saeys
    Pages 84-97

  9. Supervised Term Weights for Biomedical Text Classification: Improvements in Nearest Centroid Computation

    • Mounia Haddoud, Aïcha Mokhtari, Thierry Lecroq, Saïd Abdeddaïm
    Pages 98-113

  10. Alignment Free Dissimilarities for Nucleosome Classification

    • Giosué Lo Bosco
    Pages 114-128

  11. A Deep Learning Approach to DNA Sequence Classification

    • Riccardo Rizzo, Antonino Fiannaca, Massimo La Rosa, Alfonso Urso
    Pages 129-140

  12. Clustering Protein Structures with Hadoop

    • Giacomo Paschina, Luca Roverelli, Daniele D’Agostino, Federica Chiappori, Ivan Merelli
    Pages 141-153

  13. Comparative Analysis of MALDI-TOF Mass Spectrometric Data in Proteomics: A Case Study

    • Eugenio Del Prete, Diego d’Esposito, Maria Fiorella Mazzeo, Rosa Anna Siciliano, Angelo Facchiano
    Pages 154-164

  14. Binary Particle Swarm Optimization Versus Hybrid Genetic Algorithm for Inferring Well Supported Phylogenetic Trees

    • Bassam Alkindy, Bashar Al-Nuaimi, Christophe Guyeux, Jean-François Couchot, Michel Salomon, Reem Alsrraj et al.
    Pages 165-179

  15. Computing Discrete Fine-Grained Representations of Protein Surfaces

    • Sebastian Daberdaku, Carlo Ferrari
    Pages 180-195

  16. The Challenges of Interpreting Phosphoproteomics Data: A Critical View Through the Bioinformatics Lens

    • Panayotis Vlastaridis, Stephen G. Oliver, Yves Van de Peer, Grigoris D. Amoutzias
    Pages 196-204

  17. Bioinformatics Challenges and Potentialities in Studying Extreme Environments

    • Claudio Angione, Pietro Liò, Sandra Pucciarelli, Basarbatu Can, Maxwell Conway, Marina Lotti et al.
    Pages 205-219

  18. Improving Genome Assemblies Using Multi-platform Sequence Data

    • Pınar Kavak, Bekir Ergüner, Duran Ãœstek, Bayram Yüksel, Mahmut Åžamil SağıroÄŸlu, Tunga Güngör et al.
    Pages 220-232

  19. Validation Pipeline for Computational Prediction of Genomics Annotations

    • Davide Chicco, Marco Masseroli
    Pages 233-244

  20. Advantages and Limits in the Adoption of Reproducible Research and R-Tools for the Analysis of Omic Data

    • Francesco Russo, Dario Righelli, Claudia Angelini
    Pages 245-258
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Other volumes

  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 12th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2015, held in Naples, Italy, in September, 2015.

The  21 revised full papers presented were carefully reviewed and selected from 24 submissions. They present problems concerning computational techniques in bioinformatics, systems biology and medical informatics discussing cutting edge methodologies and accelerate life science discoveries, as well as novel challenges with an high impact on molecular biology and translational medicine.

Editors and Affiliations

  • CNR, Istituto per le Applicazioni del Calcolo, Naples, Italy

    Claudia Angelini

  • Center for Statistics in the Biomedical Sciences, Vita-Salute San Raffaele University, Milano, Italy

    Paola MV Rancoita

  • DIBRIS, University of Genoa, Genova, Italy

    Stefano Rovetta

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