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. 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
2. Jurman, Giuseppe,
   Metric projection for dynamic multiplex networks,
   in «HELIYON»,
   vol. 2,
   n. 8,
   2016
   , pp. e00136 -
3. 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 -
4. 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 -
5. 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
6. 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,
7. 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
8. Mina, Marco; Magi, Shigeyuki; Jurman, Giuseppe; Itoh, Masayoshi; Kawaji, Hideya; Lassmann, Timo; Arner, Erik; Forrest, Alistair R R; Carninci, Piero; Hayashizaki, Yoshihide; Daub, Carsten O; Okada-Hatakeyama, Mariko; Furlanello, Cesare,
   Promoter-level expression clustering identifies time development of transcriptional regulatory cascades initiated by ErbB receptors in breast cancer cells,
   in «SCIENTIFIC REPORTS»,
   vol. 5,
   2015
   , pp. 11999 -
9. Gobbi, Andrea; Jurman, Giuseppe,
   A null model for pearson coexpression networks,
   in «PLOS ONE»,
   vol. 10,
   n. 6,
   2015
   , pp. e0128115 -
10. Jurman, Giuseppe; Visintainer, Roberto; Filosi, Michele; Riccadonna, Samantha; Furlanello, Cesare,
    The HIM glocal metric and kernel for network comparison and classification,
    Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on,
    2015
    , pp. 1-
    10
    , (Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on,
    Paris,
    19-21 Oct. 2015)

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