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ORCID15th CIBB 2018: Caparica, Portugal
- Maria Raposo
, Paulo A. Ribeiro, Susana Sério, Antonino Staiano, Angelo Ciaramella:
Computational Intelligence Methods for Bioinformatics and Biostatistics - 15th International Meeting, CIBB 2018, Caparica, Portugal, September 6-8, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11925, Springer 2020, ISBN 978-3-030-34584-6
Computational Intelligence Methods for Bioinformatics and Biostatistics
- Angelo Ciaramella, Davide Nardone, Antonino Staiano:
Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values. 3-10 - Pedro F. Ferreira, Alexandra M. Carvalho, Susana Vinga:
Variational Inference in Probabilistic Single-cell RNA-seq Models. 11-18 - Vincenzo Bonnici, Simone Caligola, Antonino Aparo, Rosalba Giugno:
Centrality Speeds the Subgraph Isomorphism Search Up in Target Aware Contexts. 19-26 - Sebastian Daberdaku:
Structure-Based Antibody Paratope Prediction with 3D Zernike Descriptors and SVM. 27-49 - Laxmi Parida, Filippo Utro:
Simultaneous Phasing of Multiple Polyploids. 50-68 - Vanessa D'Amario, Gabriele Arnulfo, Lino Nobili, Annalisa Barla:
Classification of Epileptic Activity Through Temporal and Spatial Characterization of Intracranial Recordings. 69-79 - Marco Frasca, Maryam Sepehri, Alessandro Petrini, Giuliano Grossi, Giorgio Valentini:
Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions. 80-87 - Cheick Tidiane Ba, Elena Casiraghi, Marco Frasca, Jessica Gliozzo, Giuliano Grossi, Marco Mesiti, Marco Notaro, Paolo Perlasca, Alessandro Petrini, Matteo Re, Giorgio Valentini:
A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks. 88-98 - Hassan Pazira:
Improved Predictor-Corrector Algorithm. 99-106 - Antonino Fiannaca, Laura La Paglia, Massimo La Rosa, Giosuè Lo Bosco, Riccardo Rizzo, Alfonso Urso:
Identification of Key miRNAs in Regulation of PPI Networks. 107-117 - Domenico Amato, Mattia Antonino Di Gangi, Giosuè Lo Bosco, Riccardo Rizzo:
Recurrent Deep Neural Networks for Nucleosome Classification. 118-127
Modeling and Simulation Methods in System Biology
- Vera Djordjilovic, Monica Chiogna, Chiara Romualdi, Elisa Salviato:
Searching for the Source of Difference: A Graphical Model Approach. 131-138 - Mahdi Shafiee Kamalabad, Marco Grzegorczyk:
A New Partially Segment-Wise Coupled Piece-Wise Linear Regression Model for Statistical Network Structure Inference. 139-152 - Ahmad Husein Alkaff, Mutiara Saragih, Mochammad Arfin Fardiansyah Nasution, Usman Sumo Friend Tambunan:
Inhibition of Primed Ebola Virus Glycoprotein by Peptide Compound Conjugated to HIV-1 Tat Peptide Through a Virtual Screening Approach. 153-165 - Mochammad Arfin Fardiansyah Nasution, Ahmad Husein Alkaff, Ilmi Fadhilah Rizki, Ridla Bakri, Usman Sumo Friend Tambunan:
Pharmacophore Modelling, Virtual Screening, and Molecular Docking Simulations of Natural Product Compounds as Potential Inhibitors of Ebola Virus Nucleoprotein. 166-178 - Chiara Damiani, Dario Pescini, Marco S. Nobile:
Global Sensitivity Analysis of Constraint-Based Metabolic Models. 179-186 - Niccoló Totis, Andrea Tangherloni, Marco Beccuti, Paolo Cazzaniga, Marco S. Nobile, Daniela Besozzi, Marzio Pennisi, Francesco Pappalardo:
Efficient and Settings-Free Calibration of Detailed Kinetic Metabolic Models with Enzyme Isoforms Characterization. 187-202
Computational Models in Health Informatics and Medicine
- Angela Serra, Antonio della Pietra, Marcus Herdener, Roberto Tagliaferri, Fabrizio Esposito:
Automatic Discrimination of Auditory Stimuli Perceived by the Human Brain. 205-211 - Razvan Kusztos, Giovanna Maria Dimitri, Pietro Lió:
Neural Models for Brain Networks Connectivity Analysis. 212-226 - Fabrizio Frasca, Matteo Matteucci, Marco J. Morelli, Marco Masseroli:
Exposing and Characterizing Subpopulations of Distinctly Regulated Genes by K-Plane Regression. 227-238 - Hugo F. M. C. Martiniano, Muhammad Asif, Astrid Moura Vicente, Luís Correia:
Network Propagation-Based Semi-supervised Identification of Genes Associated with Autism Spectrum Disorder. 239-248 - Arif Canakoglu, Luca Nanni, Artur Sokolovsky, Stefano Ceri:
Designing and Evaluating Deep Learning Models for Cancer Detection on Gene Expression Data. 249-261 - Casimiro Aday Curbelo Montañez, Paul Fergus, Carl Chalmers, Jade Hind:
Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data. 262-276 - Marta Lovino, Gianvito Urgese, Enrico Macii, Santa Di Cataldo, Elisa Ficarra:
Predicting the Oncogenic Potential of Gene Fusions Using Convolutional Neural Networks. 277-284 - João Villa-Brito, Marta B. Lopes, Alexandra M. Carvalho, Susana Vinga:
Unravelling Breast and Prostate Common Gene Signatures by Bayesian Network Learning. 285-292
Engineering Bio-Interfaces and Rudimentary Cells as a Way to Develop Synthetic Biology
- Filipa Pires, Bárbara Rodrigues, Gonçalo Magalhães-Mota, Paulo A. Ribeiro, Maria Raposo:
Effect of Epigallocatechin-3-gallate on DMPC Oxidation Revealed by Infrared Spectroscopy. 295-302 - Thais P. Pivetta, Filipa Pires, Maria Raposo:
Effect of EGCG on the DNA in Presence of UV Radiation. 303-308 - Sara Pereira, Érica Pinto, Paulo António Ribeiro, Susana Sério:
Non-thermal Atmospheric Pressure Plasmas: Generation, Sources and Applications. 309-318 - João Pereira-da-Silva, Paulo M. Zagalo, Gonçalo Magalhães-Mota, Paulo A. Ribeiro, Maria Raposo:
Adsorption of Triclosan on Sensors Based on PAH/PAZO Thin-Films: The Effect of pH. 319-325 - Gonçalo Magalhães-Mota, Filipa Pires, Paulo A. Ribeiro, Maria Raposo:
Detection of Triclosan Dioxins After UV Irradiation - A Preliminar Study. 326-332
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