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. 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
4. 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
5. Jurman, Giuseppe,
   Metric projection for dynamic multiplex networks,
   in «HELIYON»,
   vol. 2,
   n. 8,
   2016
   , pp. e00136 -
6. 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 -
7. 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 -
8. 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
9. 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,
10. D. Fay; A.W. Moore; K. Brown; M. Filosi; G. Jurman,
    Graph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimation,
    in «JOURNAL OF COMPLEX NETWORKS»,
    vol. 3,
    2015
    , pp. 52 -
    83

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