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. 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
2. 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
3. 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 -
4. 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
5. 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
6. Jurman, Giuseppe,
   Metric projection for dynamic multiplex networks,
   in «HELIYON»,
   vol. 2,
   n. 8,
   2016
   , pp. e00136 -
7. Riccadonna, Samantha; Jurman, Giuseppe; Visintainer, Roberto; Filosi, Michele; Furlanello, Cesare,
   DTW-MIC Coexpression Networks from Time-Course Data,
   in «PLOS ONE»,
   vol. 11,
   n. 3,
   2016
   , pp. e0152648 -
8. Iorio, Francesco; Bernardo-Faura, Marti; Gobbi, Andrea; Cokelaer, Thomas; Jurman, Giuseppe; Saez-Rodriguez, Julio,
   Efficient randomization of biological networks while preserving functional characterization of individual nodes,
   in «BMC BIOINFORMATICS»,
   vol. 17,
   n. 1,
   2016
   , pp. 542 -
9. Jurman, G.; Filosi, M.; Riccadonna, S.; Visintainer, R.; Furlanello, C.,
   Differential network analysis and graph classification: a glocal approach,
   Dynamics of Mathematical Models in Biology,
   Cham,
   Springer,
   2016
   , pp. 17 -
   30
10. Rad, Nastaran Mohammadian; Kia, Seyed Mostafa; Zarbo, Calogero; Jurman, Giuseppe; Venuti, Paola; Furlanello, Cesare,
    Stereotypical Motor Movement Detection in Dynamic Feature Space,
    2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW),
    IEEE,
    2016
    , pp. 487-
    494
    , (2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW),
    Barcelona,

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