Computational Intelligence Methods for Bioinformatics and Biostatistics

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

  • Claudia Angelini
  • Paola MV Rancoita
  • Stefano Rovetta
Conference proceedings CIBB 2015
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9874)

Table of contents

  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 Üstek, Bayram Yüksel, Mahmut Şamil Sağıroğlu, 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

About these proceedings

Introduction

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.

Keywords

big-data deep learning gene ontology genetic algorithms systems biology data integration database design and analysis of algorithms gene regulatory network genomics graph clustering molecular dynamics multi-layer networks network analysis probability and statistics similarity measures software creation and management support vector machines

Editors and affiliations

  • Claudia Angelini
    • 1
  • Paola MV Rancoita
    • 2
  • Stefano Rovetta
    • 3
  1. 1.CNRIstituto per le Applicazioni del CalcoloNaplesItaly
  2. 2.Center for Statistics in the Biomedical SciencesVita-Salute San Raffaele UniversityMilanoItaly
  3. 3.DIBRISUniversity of GenoaGenovaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-44332-4
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-44331-7
  • Online ISBN 978-3-319-44332-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349