Address

Istituto di Analisi dei Sistemi ed Informatica "Antonio Ruberti" Via dei Taurini, 19 00185 Roma - Italy
Stanza: 406

Giulia Fiscon

Role: Research Associate

Research group: BIOSYS

Biomedical Engineer, PhD in Engineering in Computer Science, currently Researcher at Sapienza University. Her research activity is in bioinformatics and computational biology, focused on computational methods for studying complex biological systems to identify new biomarkers and therapeutic targets
Settori ERC: 
PE6_13 Bioinformatics, bio-inspired computing, and natural computing
LS2_11 Bioinformatics and computational biology

Recent publications

  1. 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
  2. 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
  3. 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.
  4. 2019
    BRAF(V600E)-mutant cancers display a variety of networks by SWIM analysis: prediction of vemurafenib clinical response
    R Falcone, Federica Conte, Giulia Fiscon, V Pecce, M Sponziello, C Durante, L. Farina, S Filetti, Paola Paci, A Verrienti
  5. 2019
    MIENTURNET: an interactive web tool for microRNA-target enrichment and network-based analysis
    V Licursi, Federica Conte, Giulia Fiscon, Paola Paci
  6. 2019
    Identification of Disease-miRNA Networks Across Different Cancer Types Using SWIM
    Giulia Fiscon, Federica Conte, L. Farina, M Pellegrini, F Russo, Paola Paci
  7. 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
  8. 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
  9. 2018
    Interplay between long non-coding RNAs and microRNAs in cancer
    F Russo, Giulia Fiscon, Federica Conte, M Rizzo, Paola Paci, M Pellegrini
  10. 2018
    SWIM tool application to expression data of glioblastoma stem-like cell lines, corresponding primary tumors and conventional glioma cell lines
    Giulia Fiscon, Federica Conte, Paola Paci