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Marco Chierici

Researcher
  • Phone: 0461314578
  • FBK Povo
Short bio

Marco Chierici is a research scientist at FBK with a Ph.D. in Bioengineering. He is expert on bioinformatic tools for the analysis of high-throughput biological data, as well as on scientific programming with R and Python. Among his research interests is the application of artificial intelligence methods (i.e., deep learning) to computational biology. At MPBA he has been responsible of next-generation sequencing bioinformatic pipelines since 2008, also developing methods for reproducibility of analyses. He was scientific chief instructor of WebValley 2009 and 2014.

Publications
  1. Chierici, Marco; Giulini, Marco; Bussola, Nicole; Jurman, Giuseppe; Furlanello, Cesare,
    in «JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART C, ENVIRONMENTAL CARCINOGENESIS & ECOTOXICOLOGY REVIEWS»,
    vol. 36,
    n. 4,
    2019
    , pp. 237 -
    251
  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,
    in «ONCOIMMUNOLOGY»,
    vol. 8,
    n. 2,
    2019
  3. Bizzego, Andrea; Bussola, Nicole; Chierici, Marco; Maggio, Valerio; Francescatto, Margherita; Cima, Luca; Cristoforetti, Marco; Jurman, Giuseppe; Furlanello, Cesare,
    Evaluating reproducibility of AI algorithms in digital pathology with DAPPER,
    in «PLOS COMPUTATIONAL BIOLOGY»,
    vol. 15,
    n. 3,
    2019
    , pp. e1006269 -
  4. Bizzego, A.; Bussola, N.; Salvalai, D.; Chierici, M.; Maggio, V.; Jurman, G.; Furlanello, C.,
    Proceedings of 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB),
    2019
    , pp. 1-
    8
    , (2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB),
    Siena, Italy,
    9-11 July 2019)
  5. Fioravanti, Diego; Giarratano, Ylenia; Maggio, Valerio; Agostinelli, Claudio; Chierici, Marco; Jurman, Giuseppe; Furlanello, Cesare,
    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. Maggio, Valerio; Chierici, Marco; Jurman, Giuseppe; Furlanello, Cesare,
    Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma,
    in «PLOS ONE»,
    vol. 13,
    n. 12,
    2018
    , pp. e0208924 -
  8. Melaiu, Ombretta; Boldrini, Renata; Chierici, Marco; Furlanello, Cesare; Fruci, Doriana,
    in «CANCER IMMUNOLOGY RESEARCH»,
    2018
    , pp. B37 -
    B37
  9. 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
  10. 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

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