Giuseppe Jurman

Giuseppe Jurman is a mathematician, with a PhD in Algebra, working at MPBA on various aspects of computational biology. His main research interests are statistical machine learning, mathematical modeling for high-throughtput data and network analysis. He is also an expert in scientific programming with Python and other computing languages.

1. Chierici;, Marco; Giulini;, Marco; Bussola;, Nicole; Jurman, Giuseppe; Furlanello;, Cesare,
   Machine learning models for predicting endocrine disruption potential of environmental chemicals,
   in «JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART C, ENVIRONMENTAL CARCINOGENESIS & ECOTOXICOLOGY REVIEWS»,
   to be published
2. Boldrini, Renata; De Pasquale Maria, Debora; Melaiu, Ombretta; Chierici, Marco; Jurman, Giuseppe; De Benedetti Maria, Chiara; Salfi Nunzio, C; Castellano, Aurora; Collini, Paola; Furlanello, Cesare; Pistoia, Vito; Cifaldi, Loredana; Terenziani, Monica; Fruci, Doriana,
   Tumor-infiltrating T cells and PD-L1 expression in childhood malignant extracranial germ-cell tumors,
   in «ONCOIMMUNOLOGY»,
   to be published
3. Jurman, Giuseppe; Filosi, Michele; Visintainer, Roberto; Riccadonna, Samantha; Furlanello, Cesare,
   Stability in GRN inference,
   Gene Regulatory Networks: Methods and Protocols, Methods in Molecular Biology,
   to be published
4. Mohammadian Rad, Nastaran; Kia, Seyed Mostafa; Zarbo, Calogero; van Laarhoven, Twan; Jurman, Giuseppe; Venuti, Paola; Marchiori, Elena; Furlanello, Cesare,
   Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders,
   in «SIGNAL PROCESSING»,
   vol. 144,
   2018
   , pp. 180 -
   191
5. Fioravanti, Diego; Giarratano, Ylenia; Maggio, Valerio; Agostinelli, Claudio; Chierici, Marco; Jurman, Giuseppe; Furlanello, Cesare,
   Phylogenetic convolutional neural networks in metagenomics,
   in «BMC BIOINFORMATICS»,
   vol. 19,
   n. S2,
   2018
6. Francescatto, Margherita; Chierici, Marco; Rezvan Dezfooli, Setareh; Zandonà, Alessandro; Jurman, Giuseppe; Furlanello, Cesare,
   Multi-omics integration for neuroblastoma clinical endpoint prediction,
   in «BIOLOGY DIRECT»,
   vol. 13,
   n. 1,
   2018
   , pp. 5 -
7. Mangioni, Giuseppe; Jurman, Giuseppe; De Domenico, Manlio,
   Multilayer flows in molecular networks identify biological modules in the human proteome,
   in «IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING»,
   2018
   , pp. 1 -
8. Jurman, Giuseppe; Maggio, Valerio; Landi, Isotta; Francescatto, Margherita; Chierici, Marco; De Domenico, Manlio; Furlanello, Cesare,
   omicsCNN: a general deep learning framework for omics data modeling and classification,
   in «HUMAN GENOMICS»,
   vol. 12,
   n. S1,
   2018
   , pp. 38 -
   38
9. Melaiu, Ombretta; Mina, Marco; Chierici, Marco; Boldrini, Renata; Jurman, Giuseppe; Romania, Paolo; D'Alicandro, Valerio; Benedetti, Maria Chiara; Castellano, Aurora; Liu, Tao; Furlanello, Cesare; Locatelli, Franco; Fruci, Doriana,
   PD-L1 is a therapeutic target of the Bromodomain inhibitor JQ1 and, combined with HLA class I, a promising prognostic biomarker in neuroblastoma,
   in «CLINICAL CANCER RESEARCH»,
   2017
10. Jurman, Giuseppe,
    Metric projection for dynamic multiplex networks,
    in «HELIYON»,
    vol. 2,
    n. 8,
    2016
    , pp. e00136 -

Pages