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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,
    Machine learning models for predicting endocrine disruption potential of environmental chemicals,
    in «JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART C, ENVIRONMENTAL CARCINOGENESIS & ECOTOXICOLOGY REVIEWS»,
    2019
  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. Fioravanti, Diego; Giarratano, Ylenia; Maggio, Valerio; Agostinelli, Claudio; Chierici, Marco; Jurman, Giuseppe; Furlanello, Cesare,
    in «BMC BIOINFORMATICS»,
    vol. 19,
    n. S2,
    2018
  4. 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 -
  5. 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
  6. 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
  7. Gnani, Daniela; Romito, Ilaria; Artuso, Simona; Chierici, Marco; De Stefanis, Cristiano; Panera, Nadia; Crudele, Annalisa; Ceccarelli, Sara; Carcarino, Elena; D'Oria, Valentina; Porru, Manuela; Giorda, Ezio; Ferrari, Karin; Miele, Luca; Villa, Erica; Balsano, Clara; Pasini, Diego; Furlanello, Cesare; Locatelli, Franco; Nobili, Valerio; Rota, Rossella; Leonetti, Carlo; Alisi, Anna,
    in «CELL DEATH AND DIFFERENTIATION»,
    vol. 24,
    2017
    , pp. 889 -
    902
  8. Levi Mortera, Stefano; Del Chierico, Federica; Vernocchi, Pamela; Rosado, Maria M.; Cavola, Agnese; Chierici, Marco; Pieroni, Luisa; Urbani, Andrea; Carsetti, Rita; Lante, Isabella; Dallapiccola, Bruno; Putignani, Lorenza,
    in «FRONTIERS IN MICROBIOLOGY»,
    vol. 7,
    2016
  9. De Mariano, Marilena; Gallesio, Roberta; Chierici, Marco; Furlanello, Cesare; Conte, Massimo; Garaventa, Alberto; Croce, Michela; Ferrini, Silvano; Tonini, Gian Paolo; Longo, Luca,
    Identification of GALNT14 as a novel neuroblastoma predisposition gene,
    in «ONCOTARGET»,
    vol. 6,
    n. 28,
    2015
    , pp. 26335-46 -
    26346
  10. Zhang, Wenqian; Yu, Ying; Hertwig, Falk; Thierry-Mieg, Jean; Zhang, Wenwei; Thierry-Mieg, Danielle; Wang, Jian; Furlanello, Cesare; Devanarayan, Viswanath; Cheng, Jie; Deng, Youping; Hero, Barbara; Hong, Huixiao; Jia, Meiwen; Li, Li; Lin, Simon M; Nikolsky, Yuri; Oberthuer, André; Qing, Tao; Su, Zhenqiang; Volland, Ruth; Wang, Charles; Wang, May D; Ai, Junmei; Albanese, Davide; Asgharzadeh, Shahab; Avigad, Smadar; Bao, Wenjun; Bessarabova, Marina; Brilliant, Murray H; Brors, Benedikt; Chierici, Marco; Chu, Tzu-Ming; Zhang, Jibin; Grundy, Richard G; He, Min Max; Hebbring, Scott; Kaufman, Howard L; Lababidi, Samir; Lancashire, Lee J; Li, Yan; Lu, Xin X; Luo, Heng; Ma, Xiwen; Ning, Baitang; Noguera, Rosa; Peifer, Martin; Phan, John H; Roels, Frederik; Rosswog, Carolina; Shao, Susan; Shen, Jie; Theissen, Jessica; Tonini, Gian Paolo; Vandesompele, Jo; Wu, Po-Yen; Xiao, Wenzhong; Xu, Joshua; Xu, Weihong; Xuan, Jiekun; Yang, Yong; Ye, Zhan; Dong, Zirui; Zhang, Ke K; Yin, Ye; Zhao, Chen; Zheng, Yuanting; Wolfinger, Russell D; Shi, Tieliu; Malkas, Linda H; Berthold, Frank; Wang, Jun; Tong, Weida; Shi, Leming; Peng, Zhiyu; Fischer, Matthias,
    Comparison of RNA-seq and microarray-based models for clinical endpoint prediction,
    in «GENOME BIOLOGY»,
    vol. 16,
    n. 1,
    2015
    , pp. 133 -

Pages