Address

Istituto di Analisi dei Sistemi ed Informatica "Antonio Ruberti" Via dei Taurini, 19 00185 Roma - Italy
Stanza: 515

Federica Conte

Role: Researcher

Research group: BIOSYS

I am a Biomedical Engineer with a PhD in Automatic Control. My research activity falls within the field of systems biology and bioinformatics. My main interests concern the application and development of computational and mathematical methods for the analysis and integration of biomedical data.
Settori ERC
PE6_13 Bioinformatics, bio-inspired computing, and natural computing
LS2_11 Bioinformatics and computational biology

Recent publications

  1. 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
  2. 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
  3. 2019
    MIENTURNET: an interactive web tool for microRNA-target enrichment and network-based analysis
    V Licursi, Federica Conte, Giulia Fiscon, Paola Paci
  4. 2019
    Genetic, epigenetic and genomic effects on variation of gene expression among grape varieties
    G Magris, G Di Gaspero, F Marroni, S Zenoni, GB Tornielli, M Celii, E De Paoli, M Pezzotti, Federica Conte, Paola Paci, M Morgante
  5. 2019
    Identification of Disease-miRNA Networks Across Different Cancer Types Using SWIM
    Giulia Fiscon, Federica Conte, L. Farina, M Pellegrini, F Russo, Paola Paci
  6. 2019
    Optimal number and sizes of the doses in fractionated radiotherapy according to the LQ model
    C. Bruni, Federica Conte, Federico Papa, Carmela Sinisgalli
  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 network analysis for unveiling crucial transcription factors in triple negative breast cancer
    Federica Conte
  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