Address

Istituto di Analisi dei Sistemi ed Informatica "Antonio Ruberti" Via dei Taurini, 19 00185 Roma - Italy
Stanza: 301

Contact Information

Call: 301

Email: paola.bertolazzi@iasi.cnr.it

Personal site: www.iasi.cnr.it

Paola Bertolazzi

Role: Research Associate

Research group: BIOSYS

IASI senior associated research and expert of the scientific board of Phd School in Engineering in Computer Science of Sapienza, Rome. Combinatorics and graph theory. Since 2005 Bioinformatics and System Biology. Currently, application of Machine Learning Techniques to Biological Pathway Analysis.
Settori ERC:
PE6_13 Bioinformatics, biocomputing, and DNA and molecular computation
LS2 Genetics, ’Omics’, Bioinformatics and Systems Biology
PE6_11 Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

Recent publications

  1. 2021
    SAveRUNNER: an R-based tool for drug repurposing
    Giulia Fiscon, Giulia Fiscon, Paola Paci, Paola Bertolazzi
  2. 2019
    DIAGNOSTICS OF NEURODEGENERATIVE DISEASES BY MACHINE LEARNING APPROACH: NEW LABORATORY AND CLINICAL BIOMARKER SELECTION
    I. Arisi, M. D'Onofrio, R. Brandi, M. Sonnessa, A. Campanelli, R. Florio, V. Sposato, F. Malerba, A. Cattaneo, P. Mecocci, G. Bruno, M. Tsolaki, N. Pelteki, F. Stocchi, M. Canevelli, L. Vacca, Giulia Fiscon, Paola Bertolazzi
  3. 2019
    Combining knowledge-based approach with logic data mining techniques to improve data querying and analysis on Alzheimer’s Disease data
    Giulia Antognoli, Ivan Arisi, Paola Bertolazzi, Eleonora Cappelli, Federica Conte, Fabio Cumbo, Giulia Fiscon, Gabriella Mavelli, Federico Perazzoni, Michele Sonnessa, Francesco Taglino, Roger Voyat
  4. 2019
    AN ONTOLOGY TO ORGANIZE DATA ON ALZHEIMER’S DISEASE FROM INTERNATIONAL DATABASES TO SUPPORT INTEGRATED ANALYSIS
    Paola Bertolazzi, R. Maccioni, G. Confessore, G. Antognoli, Francesco Taglino, F. Cumbo, E. Cappelli, M. D'Onofrio, I. Arisi, A. Cattaneo, P. Mecocci, G. Bruno0, M. Canevelli0, M. Tsolaki, F. Stocchi, F. Conte, Giulia Fiscon, M. Sonnessa, L. Tariciotti0, G. Sarli0.
  5. 2019
    A DiVaMo analysis method to identify relevant metabolic pathways under pathological conditions of Alzheimer and breast cancer
    Alessandro Ingrosso, Gabriella Mavelli, Anna Maria Colangelo, Federica Aprea, Francesca Martorana, Daniela Gaglio, Lilia Alberghina, Giovanni Felici, Paola Bertolazzi
  6. 2018
    An ontology-based approach to improve data querying and organization of Alzheimer’s Disease data
    Ivan Arisi, Paola Bertolazzi, Eleonora Cappelli, Federica Conte, Fabio Cumbo, Giulia Fiscon, Michele Sonnessa, Francesco Taglino
  7. 2018
    An integrated approach based on EEG signals processing combined with supervised methods to classify Alzheimer’s disease patients
    Giulia Fiscon, Emanuel Weitschek, Maria Cristina De Cola, Giovanni Felici, Paola Bertolazzi
  8. 2018
    Combining EEG signal processing with supervised methods for Alzheimer’s patients classification
    Giulia Fiscon, Emanuel Weitschek, A Cialini, Giovanni Felici, Paola Bertolazzi, S De Salvo, A Bramanti, P Bramanti, M C De Cola
  9. 2017
    Characterization of epithelial-mesenchymal transition intermediate/hybrid phenotypes associated to resistance to EGFR inhibitors in non-small cell lung cancer cell lines
    Valentina Fustaino (, Dario Presutti (), Teresa Colombo (), Beatrice Cardinali (), Giuliana Papoff (), Rossella Brandi (), Paola Bertolazzi, Giovanni Felici, Giovina Ruberti ()
  10. 2017
    IRIS-TCGA: an information retrieval and integration system for genomic data of cancer
    Fabio Cumbo, Emanuel Weitschek, Paola Bertolazzi, Giovanni Felici