Publications

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. 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,
   Focal adhesion kinase depletion reduces human hepatocellular carcinoma growth by repressing enhancer of zeste homolog 2,
   in «CELL DEATH AND DIFFERENTIATION»,
   vol. 24,
   2017
   , pp. 889 -
   902
7. Camanzi, Luca; Alikadic, Azra; Compagnoni, Luca; Merloni, Eva,
   The impact of greenhouse gas emissions in the EU food chain: A quantitative and economic assessment using an environmentally extended input-output approach,
   in «JOURNAL OF CLEANER PRODUCTION»,
   vol. 157,
   2017
   , pp. 168 -
   176
8. Ozturk, Yagmur; Bizzego, Andrea; Esposito, Gianluca; Furlanello, Cesare; Venuti, Paola,
   Physiological and self-report responses of parents of children with autism spectrum disorder to children crying,
   in «RESEARCH IN DEVELOPMENTAL DISABILITIES»,
   vol. 73,
   2017
   , pp. 31 -
   39
9. Shi, Leming; Kusko, Rebecca; Wolfinger, Russell D; Haibe-Kains, Benjamin; Fischer, Matthias; Sansone, Susanna-Assunta; Mason, Christopher E; Furlanello, Cesare; Jones, Wendell D; Ning, Baitang; Tong, Weida,
   The international MAQC Society launches to enhance reproducibility of high-throughput technologies,
   in «NATURE BIOTECHNOLOGY»,
   vol. 35,
   n. 12,
   2017
   , pp. 1127 -
   1128
10. Bielski, C.; O'Brien, V.; Whitmore, C.; Ylinen, K.; Juga, I.; Nurmi, P.; Kilpinen, J.; Porras, I.; Sole, J. M.; Gamez, P.; Navarro, M.; Alikadic, A.; Gobbi, A.; Furlanello, C.; Zeug, G.; Weirathe, M.; Martinez, J.; Yuste, R.; Castro, S.; Moreno, V.; Velin, T.; Rossi, C.,
    Coupling early warning services, crowdsourcing, and modelling for improved decision support and wildfire emergency management,
    Proceedings of 2017 IEEE International Conference on Big Data (Big Data),
    2017
    , pp. 3705-
    3712
    , (2017 IEEE International Conference on Big Data (Big Data),
    Boston, MA, USA,
    11-14 Dec. 2017)

Pages