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ORCID11. CIBB 2014: Cambridge, UK
- Clelia Di Serio, Pietro Liò
, Alessandro Nonis, Roberto Tagliaferri:
Computational Intelligence Methods for Bioinformatics and Biostatistics - 11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8623, Springer 2015, ISBN 978-3-319-24461-7
Regular Sessions
- Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano:
GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations. 3-18 - Davide Chicco, Eleonora Ciceri, Marco Masseroli:
Extended Spearman and Kendall Coefficients for Gene Annotation List Correlation. 19-32 - Eugenio Del Prete, Serena Dotolo, Anna Marabotti, Angelo M. Facchiano:
Statistical Analysis of Protein Structural Features: Relationships and PCA Grouping. 33-43 - Nicoletta Dessì, Stefania Dessì, Emanuele Pascariello, Barbara Pes:
Exploring the Relatedness of Gene Sets. 44-56 - Paola Galdi, Francesco Napolitano, Roberto Tagliaferri:
Consensus Clustering in Gene Expression. 57-67 - Fiona Kathryn Hamey, Yoli Shavit, Valdone Maciulyte, Christopher Town, Pietro Liò, Sabrina Tosi:
Automated Detection of Fluorescent Probes in Molecular Imaging. 68-75 - Antonella Iuliano, Annalisa Occhipinti, Claudia Angelini, Italia De Feis, Pietro Liò:
Applications of Network-based Survival Analysis Methods for Pathways Detection in Cancer. 76-88 - Anna Korhonen, Yufan Guo, Simon Baker, Meliha Yetisgen-Yildiz, Ulla Stenius, Masashi Narita, Pietro Liò:
Improving Literature-Based Discovery with Advanced Text Mining. 89-98 - Giosuè Lo Bosco, Luca Pinello:
A New Feature Selection Methodology for K-mers Representation of DNA Sequences. 99-108 - Hassan Mahmoud, Francesco Masulli, Stefano Rovetta, Giuseppe Russo:
Detecting Overlapping Protein Communities in Disease Networks. 109-120 - Juan Mendivelso, Camilo Pino, Luis F. Niño, Yoan J. Pinzón:
Approximate Abelian Periods to Find Motifs in Biological Sequences. 121-130 - Daniele Pepe, Fernando Palluzzi, Mario Grassi:
Sem Best Shortest Paths for the Characterization of Differentially Expressed Genes. 131-141 - Riccardo Rizzo, Antonino Fiannaca, Massimo La Rosa, Alfonso Urso:
The General Regression Neural Network to Classify Barcode and mini-barcode DNA. 142-155 - Kumar Parijat Tripathi, Daniela Evangelista, Raffaele Cassandra, Mario R. Guarracino:
Transcriptator: Computational Pipeline to Annotate Transcripts and Assembled Reads from RNA-Seq Data. 156-169 - Wessel N. van Wieringen, Carel F. W. Peeters:
Application of a New Ridge Estimator of the Inverse Covariance Matrix to the Reconstruction of Gene-Gene Interaction Networks. 170-179
Special Session: Computational Biostatistics for Data Integration in Systems Biomedicine
- Giuseppe Marano, Patrizia Boracchi, Elia M. Biganzoli:
Estimation of a Piecewise Exponential Model by Bayesian P-splines Techniques for Prognostic Assessment and Prediction. 183-198 - Daniel Urda, Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa, Leonardo Franco, José M. Jerez:
Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures. 199-206
Special Session: Computational Intelligence Methods for Drug Design
- Aicha Boutorh, Naruemon Pratanwanich, Ahmed Guessoum, Pietro Liò:
Drug Repurposing by Optimizing Mining of Genes Target Association. 209-218 - Hongjian Li, Kwong-Sak Leung, Man Hon Wong, Pedro J. Ballester:
The Importance of the Regression Model in the Structure-Based Prediction of Protein-Ligand Binding. 219-230 - Hongjian Li, Kwong-Sak Leung, Man Hon Wong, Pedro J. Ballester:
The Impact of Docking Pose Generation Error on the Prediction of Binding Affinity. 231-241
Special Session: Large-Scale and HPC Data Analysis in Bioinformatics: Intelligent Methods for Computational, Systems and Synthetic Biology
- Marco Aldinucci, Andrea Bracciali, Tobias Marschall, Murray Patterson, Nadia Pisanti, Massimo Torquati:
High-Performance Haplotype Assembly. 245-258 - Lars Ailo Bongo, Edvard Pedersen, Martin Ernstsen:
Data-Intensive Computing Infrastructure Systems for Unmodified Biological Data Analysis Pipelines. 259-272 - Daniele D'Agostino, Giulia Pasquale, Ivan Merelli:
A Fine-Grained CUDA Implementation of the Multi-objective Evolutionary Approach NSGA-II: Potential Impact for Computational and Systems Biology Applications. 273-284 - Manjusha Nair, Bipin Nair, Shyam Diwakar:
GPGPU Implementation of a Spiking Neuronal Circuit Performing Sparse Recoding. 285-297 - Fabio Tordini, Maurizio Drocco, Ivan Merelli, Luciano Milanesi, Pietro Liò, Marco Aldinucci:
NuChart-II: A Graph-Based Approach for Analysis and Interpretation of Hi-C Data. 298-311
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