Provisional program

CIBB 2019 program

The detailed version of the program can be downloaded here



List of accepted papers

Main track
  • Maria Raposo. Computational Intelligence Methods as tools to develop Sensors of Molecular Traces in Complex Systems
  • The Tien Mai, Leiv Ronneberg, Zhi Zhao, Manuela Zucknick and Jukka Corander. Composite local low-rank structure in learning drug sensitivity
  • Angela Serra, Antonio Federico and Dario Greco. Integrative analysis with regularised random forest for toxicity prediction
  • Eleonora Cappelli, Emanuel Weitschek and Fabio Cumbo. Extending knowledge on genomic data and metadata of cancer by exploiting taxonomy-based relaxed queries on domain-specific ontologies
  • Alberto Dennuzio, Enrico Formenti, Luciano Margara, Valentin Montmirail and Sara Riva. Solving Equations on Discrete Dynamical Systems
  • André Veríssimo, Marta Lopes, Eunice Carrasquinha and Susana Vinga. Random sample consensus for the robust identification of outliers in cancer data
  • Işıksu Ekşioğlu and Mehmet Tan. Prediction of Drug Synergy by Ensemble Learning
  • Ryan Mitchell, David Cairns, Kevin Pollock and Carron Shankland. Effective use of evolutionary computation to parameterise an epidemiological model
  • Thais Priscilla Pivetta, Carlota J.F. Conceição, Filipa Pires, Paulo A. Ribeiro and Maria Raposo. Liposomes as a drug delivery system for a novel class of anticarcinogenic agents
  • Manuel Anacleto, Susana Vinga and Alexandra M Carvalho. MSAX: Multivariate symbolic aggregate approximation for time series classification
  • Mohammad Mehdi Hosseinzadeh, Riccardo Dondi, Giancarlo Mauri and Italo Zoppis. A New Heuristic to Find Overlapping Dense Subgraphs in Biological Networks
  • Moritz Kulessa, Eneldo Loza Mencía and Johannes Fürnkranz. Improving the Fusion of Outbreak Detection Methods with Supervised Learning
  • Simone Spolaor. Hybrid modeling of biological systems with FuzzX
  • Guillaume Fertin, Matthieu David, Dominique Tessier and Hélène Rogniaux. MS/MS spectra interpretation and the interest of SpecFit for identifying uncommon modifications
  • Meysam Roodi, Zahra Lak and Andreas Moshovos. Skip-Pass: Accelerating BWA-MEM Aligner
  • Isis Bonet, Alejandro Peña, Christian Lochmuller, Héctor Alejandro Patiño and Mario Gongora. Deep Clustering for Metagenomics
  • Meysam Roodi. SW+: On Accelerating Smith-Waterman Execution of GATK HaplotypeCaller
  • Daniele D'Agostino, Ivan Merelli, Marco Aldinucci and Pietro Liò. NeoHiC: a web application for the analysis of Hi-C data
  • Lucrezia Patruno, Edoardo Galimberti, Daniele Ramazzotti, Giulio Caravagna, Luca De Sano, Marco Antoniotti and Alex Graudenzi. cyTRON and cyTRON/JS: two Cytoscape-based applications for the inference of cancer evolution models
  • Guillaume Zamora, Caro Fuchs, Aurélie Degeneffe, Pieter Kubben and Uzay Kaymak. A clinical decision support system by using wrist-worn smartphone tremor measurements
  • Changhee Han, Leonardo Rundo, Kohei Murao, Zoltán Ádám Milacski, Kazuki Umemoto, Hideki Nakayama and Shin'Ichi Satoh. GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis
Special Session: Modeling and Simulation Methods for Computational Biology and Systems Medicine
  • Paola Lecca and Angela Re. Analysis of Observability of Bacterial Growth Models
  • Eric Nisoli, Marco S Nobile, Thalia Vlachou, Pier Giuseppe Pelicci and Paolo Cazzaniga. GPU-powered investigation of cell proliferation
  • Mattia Rovetta, Daniela Besozzi and Renata Tisi. Modeling calcium signaling in S. cerevisiae cells in response to hypotonic shock
  • Marzio Pennisi, Giulia Russo, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo and Francesco Pappalardo. In Silico simulation of Daclizumab effects using Agent Based Models
  • Nicola Bombieri, Simone Caligola, Antonio Mastrandrea, Silvia Scaffeo, Tommaso Carlucci, Franco Fummi, Carlo Laudanna, Gabriela Constantin and Rosalba Giugno. Modelling, Simulation, and Tuning of Metabolic Networks Through Electronic Design Automation
  • Giulia Paiardi, Chiara Urbinati, Paola Chiodelli, Alessandro Orro, Matteo Uggeri, Luciano Milanesi, Marco Rusnati and Pasqualina D'Ursi. Implementation of an incremental docking method to study long-sugar chains interactions with proteins
  • Simone Pernice, Marco Beccuti, Greta Romano, Marzio Pennisi, Alessandro Maglione, Santina Cutrupi, Francesco Pappalardo, Lorenzo Capra, Giuliana Franceschinis, Massimiliano De Pierro, Gianfranco Balbo, Francesca Cordero and Raffaele Calogero. Multiple Sclerosis disease: a computational approach forinvestigating its drug interactions
Special session: Machine Learning in Healthcare Informatics and Medical Biology
  • Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi and Marianna Milano. Learning Weighted Association Rules in Human Phenotype Ontology
  • Rohit Pardasani, Rupanjali Chaudhuri, Sushma Maya, Sheetal Chaurasia and Navchetan Awasthi. Quantitative Assessment of Respiratory Distress using CNN for Multivariate Time Series Segmentation
  • Gaia Ceddia, Sara Pidò and Marco Masseroli. Computational analysis and comparison of gene networks from TCGA normal and cancer data
  • Erica Tavazzi, Sebastian Daberdaku, Alessandro Zandonà, Rosario Vasta, Andrea Calvo, Adriano Chiò and Barbara Di Camillo. An Adaptive K-Nearest Neighbours Algorithm for the Imputation of Static and Dynamic Mixed-Type Clinical Data
  • Davide Chicco, Augustin Toma, Pingzhao Hu and Patrick R. Lawler. Machine learning driven prediction of heart failure from gene expressions of patients with ST segment elevation myocardial infarction (STEMI)
  • Steffen Albrecht, Miguel A. Andrade-Navarro and Jean-Fred Fontaine. Machine learning application to assess the quality of early stage next-generation sequencing data
  • Francisco Cristovao, Arif Canakoglu, Mark Carman, Silvia Cascianelli, Luca Nanni, Pietro Pinoli and Marco Masseroli. Comparing classic, deep and semi-supervised learning for whole-transcriptome breast cancer subtyping
  • Alberto Pinheira, Camila Nascimento, Rodrigo Dias and Inês Dutra. Characterizing the profile of bipolar disorder-associated single nucleotide polymorphisms in a large UK cohort
  • Mafalda Falcão Ferreira, Rui Camacho and Luis Teixeira. Autoencoders as Weight Initialization of Deep Classification Networks for Cancer vs. Cancer Studies
  • Pierre Michel, Nicolas Ngo, Jean-François Pons, Stéphane Delliaux and Roch Giorgi. A filter approach for feature selection in classification: application to atrial fibrillation detection in ECG recordings
  • Eunice Carrasquinha, João Santinha, Alexander Mongolin, Maria Lisitskiya, Joana Ribeiro, Fátima Cardoso, Leonardo Vanneschi and Nickolas Papanikolaou. Regularization techniques in Radiomics: A case study on the prediction of pCR in Breast Tumours and the Axilla
  • Federico Cabitza and Andrea Seveso. Ordinal Labels in Machine Learning: A User-centered Approach to Improve Data Validity in Medical Settings
  • Bruno Galuzzi, Mirko Gaslini, Antonio Candelieri, Ilaria Giordani, Gaia Arosio and Francesco Archetti. A Tool for Anomaly Detection in ECG Signals to support health medical Decisions
Special session: Algebraic and Computational Methods for the Study of RNA Behaviour
  • Semyon Grigorev, Yuliya Susanina and Anna Yaveyn. Modification of Valiant’s Parsing Algorithm for String-searching Problem
  • Maria Waldl, Sebastian Will, Michael Wolfinger, Ivo Hofacker and Peter F. Stadler. Bi-alignments as Models of Incongruent Evolution of RNA Sequence and Structure
  • Semyon Grigorev and Polina Lunina. On Secondary Structure Analysis by using Formal Grammars and Artificial Neural Networks
  • Stefano Maestri and Emanuela Merelli. Process-based Modelling of Non-coding RNA Functions
  • Michela Quadrini, Emanuela Merelli and Riccardo Piergallini. Label Core for Understanding RNA-RNA Interactions
  • Alessio Mancini and Sandra Pucciarelli. Innovative Computational Approaches for the Comprehension of mRNA Intron Retention
  • Gianvito Grasso, Filip Stojceski and Andrea Danani. Coarse-Grained Molecular Simulations to Investigate the Supramolecular Properties of Polycations-RNA Binding Dynamics
Special Session: Intelligence methods for molecular characterization and dynamics in translational medicine
  • Marilisa Montemurro, Elena Grassi, Gianvito Urgese, Emanuele Parisi, Carmelo Gabriele Pizzino, Andrea Bertotti and Elisa Ficarra. Single-cell DNA Sequencing Data: A Pipeline for Multi-sample Analysis
  • Davide Maspero, Marzia Di Filippo, Dario Pescini, Giancarlo Mauri, Marco Vanoni, Alex Graudenzi and Chiara Damiani. Integration of Single-cell RNA-sequencing Data into Flux Balance Cellular Automata
  • Serena Scala, Luca Basso-Ricci, Francesca Dionisio, Danilo Pellin, Stefania Giannelli, Federica Andrea Salerio, Maria Pia Cicalese, Francesca Ferrua, Alessandro Aiuti and Luca Biasco. In vivo tracking of hematopoietic progenitors in humans unveils resilience of hematopoietic stem cells and long-term survival of lymphoid precursors.
  • Adriano De Marino, Andrea Calabria, Fabrizio Benedicenti, Marco Antoni and Eugenio Montini. Sequence exchange: an experimental approach to eliminate index switching in integration site studies
  • Maryam Omrani, Andrea Calabria and Alessandro Aiuti. Toward better understanding of alignment artifacts in viral vector integration sites identification
  • Luca Del Core, Andrea Calabria, Daniela Cesana, Eugenio Montini, Ernst Wit and Marco Grzegorczyk. A Bayesian regression for clonal diversity in Gene Therapy safety studies

Contact

For any request, please contact cibb2019@easychair.org

Programme co-chairs


Paolo Cazzaniga [Web] -- Department of Human and Social Sciences, University of Bergamo, Italy
Ivan Merelli [Web] -- Institute of Biomedical Technologies, National Research Council, Italy
Daniela Besozzi [Web] -- Department of Informatics, Systems and Communication, University of Milano-Bicocca, Italy

Supported by


CNR    unibg    DISCo    DISCo