Gong, Binsheng; Li, Dan; Kusko, Rebecca; Novoradovskaya, Natalia; Zhang, Yifan; Wang, Shangzi; na, Carlos Pabón-Pe; Zhang, Zhihong; Lai, Kevin; Cai, Wanshi; LoCoco, Jennifer S.; Lader, Eric; Richmond, Todd A.; Mittal, Vinay K.; Liu, Liang-Chun; Johann, Donald J.; Willey, James C.; Bushel, Pierre R.; Yu, Ying; Xu, Chang; Chen, Guangchun; Burgess, Daniel; Cawley, Simon; Giorda, Kristina; Haseley, Nathan; Qiu, Fujun; Wilkins, Katherine; Arib, Hanane; Attwooll, Claire; Babson, Kevin; Bao, Longlong; Bao, Wenjun; Lucas, Anne Bergstrom; Best, Hunter; Bhandari, Ambica; Bisgin, Halil; Blackburn, James; Blomquist, Thomas M.; Boardman, Lisa; Burgher, Blake; Butler, Daniel J.; Chang, Chia-Jung; Chaubey, Alka; Chen, Tao; Chierici, Marco; Chin, Christopher R.; Close, Devin; Conroy, Jeffrey; Coleman, Jessica Cooley; Craig, Daniel J.; Crawford, Erin; Pozo, Angela; Deveson, Ira W.; Duncan, Daniel; Eterovic, Agda Karina; Fan, Xiaohui; Foox, Jonathan; Furlanello, Cesare; Ghosal, Abhisek; Glenn, Sean; Guan, Meijian; Haag, Christine; Hang, Xinyi; Happe, Scott; Hennigan, Brittany; Hipp, Jennifer; Hong, Huixiao; Horvath, Kyle; Hu, Jianhong; Hung, Li-Yuan; Jarosz, Mirna; Kerkhof, Jennifer; Kipp, Benjamin; Kreil, David Philip; Łabaj, Paweł; Lapunzina, Pablo; Li, Peng; Li, Quan-Zhen; Li, Weihua; Li, Zhiguang; Liang, Yu; Liu, Shaoqing; Liu, Zhichao; Ma, Charles; Marella, Narasimha; Mart’in-Arenas, Rubén; Megherbi, Dalila B.; Meng, Qingchang; Mieczkowski, Piotr A.; Morrison, Tom; Muzny, Donna; Ning, Baitang; Parsons, Barbara L.; Paweletz, Cloud P.; Pirooznia, Mehdi; Qu, Wubin; Raymond, Amelia; Rindler, Paul; Ringler, Rebecca; Sadikovic, Bekim; Scherer, Andreas; Schulze, Egbert; Sebra, Robert; Shaknovich, Rita; Shi, Qiang; Shi, Tieliu; Silla-Castro, Juan Carlos; Smith, Melissa; López, Mario Sol’is; Song, Ping; Stetson, Daniel; Strahl, Maya; Stuart, Alan; Supplee, Julianna; Szankasi, Philippe; Tan, Haowen; Tang, Lin-ya; Tao, Yonghui; Thakkar, Shraddha; Thierry-Mieg, Danielle; Thierry-Mieg, Jean; Thodima, Venkat J.; Thomas, David; Tich’y, Boris; Tom, Nikola; Garcia, Elena Vallespin; Verma, Suman; Walker, Kimbley; Wang, Charles; Wang, Junwen; Wang, Yexun; Wen, Zhining; Wirta, Valtteri; Wu, Leihong; Xiao, Chunlin; Xiao, Wenzhong; Xu, Shibei; Yang, Mary; Ying, Jianming; Yip, Shun H.; Zhang, Guangliang; Zhang, Sa; Zhao, Meiru; Zheng, Yuanting; Zhou, Xiaoyan; Mason, Christopher E.; Mercer, Timothy; Tong, Weida; Shi, Leming; Jones, Wendell; Xu, Joshua
Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions Journal Article
In: Genome Biology, vol. 22, no. 1, pp. 109, 2021.
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A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency Journal Article
In: Genome Biology, vol. 22, no. 1, pp. 1–38, 2021.
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Melaiu, Ombretta; Chierici, Marco; Lucarini, Valeria; Jurman, Giuseppe; Conti, Libenzio Adrian; Vito, Rita De; Boldrini, Renata; Cifaldi, Loredana; Castellano, Aurora; Furlanello, Cesare; Barnaba, Vincenzo; Locatelli, Franco; Fruci, Doriana
Cellular and gene signatures of tumor-infiltrating dendritic cells and natural-killer cells predict prognosis of neuroblastoma Journal Article
In: Nature Communications, vol. 11, no. 1, pp. 5992, 2020.
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Chierici, Marco; Bussola, Nicole; Marcolini, Alessia; Francescatto, Margherita; Zandon`a, Alessandro; Trastulla, Lucia; Agostinelli, Claudio; Jurman, Giuseppe; Furlanello, Cesare
Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling Journal Article
In: Frontiers in Oncology, vol. 10, pp. 1065, 2020.
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Chierici, Marco; Francescatto, Margherita; Bussola, Nicole; Jurman, Giuseppe; Furlanello, Cesare
Predictability of drug-induced liver injury by machine learning Journal Article
In: Biology Direct, vol. 15, no. 1, pp. 3, 2020.
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Bizzego, A.; Bussola, N.; Salvalai, D.; Chierici, M.; Maggio, V.; Jurman, G.; Furlanello, C.
Integrating deep and radiomics features in cancer bioimaging Proceedings Article
In: 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), pp. 1-8, 2019.
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Polano, Maurizio; Chierici, Marco; Bo, Michele Dal; Gentilini, Davide; Cintio, Federica Di; Baboci, Lorena; Gibbs, David L; Furlanello, Cesare; Toffoli, Giuseppe
A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning Journal Article
In: Cancers, vol. 11, no. 10, pp. 1562, 2019.
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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 Journal Article
In: PLoS computational biology, vol. 15, no. 3, pp. e1006269, 2019.
@article{bizzego2019evaluating,
title = {Evaluating reproducibility of AI algorithms in digital pathology with DAPPER},
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Boldrini, Renata; Pasquale, Maria Debora De; Melaiu, Ombretta; Chierici, Marco; Jurman, Giuseppe; Benedetti, Maria Chiara; Salfi, Nunzio C; Castellano, Aurora; Collini, Paola; Furlanello, Cesare; others,
Tumor-infiltrating T cells and PD-L1 expression in childhood malignant extracranial germ-cell tumors Journal Article
In: OncoImmunology, vol. 8, no. 2, pp. e1542245, 2019.
@article{boldrini2019tumor,
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Chierici, Marco; Giulini, Marco; Bussola, Nicole; Jurman, Giuseppe; Furlanello, Cesare
Machine learning models for predicting endocrine disruption potential of environmental chemicals Journal Article
In: Journal of Environmental Science and Health, Part C, pp. 1–15, 2018.
@article{chierici2018machine,
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Maggio, Valerio; Chierici, Marco; Jurman, Giuseppe; Furlanello, Cesare
Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma Journal Article
In: PloS ONE, vol. 13, no. 12, pp. e0208924, 2018.
@article{maggio2018distillation,
title = {Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma},
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Fioravanti, Diego; Giarratano, Ylenia; Maggio, Valerio; Agostinelli, Claudio; Chierici, Marco; Jurman, Giuseppe; Furlanello, Cesare
Phylogenetic convolutional neural networks in metagenomics Journal Article
In: BMC bioinformatics, vol. 19, no. 2, pp. 49, 2018.
@article{fioravanti2018phylogenetic,
title = {Phylogenetic convolutional neural networks in metagenomics},
author = {Diego Fioravanti and Ylenia Giarratano and Valerio Maggio and Claudio Agostinelli and Marco Chierici and Giuseppe Jurman and Cesare Furlanello},
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Francescatto, Margherita; Chierici, Marco; Dezfooli, Setareh Rezvan; Zandon`a, Alessandro; Jurman, Giuseppe; Furlanello, Cesare
Multi-omics integration for neuroblastoma clinical endpoint prediction Journal Article
In: Biology direct, vol. 13, no. 1, pp. 5, 2018.
@article{francescatto2018multi,
title = {Multi-omics integration for neuroblastoma clinical endpoint prediction},
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Melaiu, Ombretta; Mina, Marco; Chierici, Marco; Boldrini, Renata; Jurman, Giuseppe; Romania, Paolo; D’Alicandro, Valerio; Benedetti, Maria C; Castellano, Aurora; Liu, Tao; others,
PD-L1 is a therapeutic target of the bromodomain inhibitor JQ1 and, combined with HLA class I, a promising prognostic biomarker in neuroblastoma Journal Article
In: Clinical Cancer Research, vol. 23, no. 15, pp. 4462–4472, 2017.
@article{melaiu2017pd,
title = {PD-L1 is a therapeutic target of the bromodomain inhibitor JQ1 and, combined with HLA class I, a promising prognostic biomarker in neuroblastoma},
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Gnani, Daniela; Romito, Ilaria; Artuso, Simona; Chierici, Marco; Stefanis, Cristiano De; 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 Journal Article
In: Cell Death and Differentiation, vol. 24, pp. 889–902, 2017.
@article{gnani2017focal,
title = {Focal adhesion kinase depletion reduces human hepatocellular carcinoma growth by repressing enhancer of zeste homolog},
author = {Daniela Gnani and Ilaria Romito and Simona Artuso and Marco Chierici and Cristiano De Stefanis and Nadia Panera and Annalisa Crudele and Sara Ceccarelli and Elena Carcarino and Valentina D'Oria and Manuela Porru and Ezio Giorda and Karin Ferrari and Luca Miele and Erica Villa and Clara Balsano and Diego Pasini and Cesare Furlanello and Franco Locatelli and Valerio Nobili and Rossella Rota and Carlo Leonetti and Anna Alisi},
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Mortera, Stefano Levi; Chierico, Federica Del; Vernocchi, Pamela; Rosado, Maria M; Cavola, Agnese; Chierici, Marco; Pieroni, Luisa; Urbani, Andrea; Carsetti, Rita; Lante, Isabella; others,
Monitoring perinatal gut microbiota in mouse models by mass spectrometry approaches: parental genetic background and breastfeeding effects Journal Article
In: Frontiers in Microbiology, vol. 7, 2016.
@article{mortera2016monitoring,
title = {Monitoring perinatal gut microbiota in mouse models by mass spectrometry approaches: parental genetic background and breastfeeding effects},
author = {Stefano Levi Mortera and Federica Del Chierico and Pamela Vernocchi and Maria M Rosado and Agnese Cavola and Marco Chierici and Luisa Pieroni and Andrea Urbani and Rita Carsetti and Isabella Lante and others},
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Hurst, Laurence D; Ghanbarian, Avazeh T; Forrest, Alistair RR; consortium, FANTOM; Huminiecki, Lukasz
The constrained maximal expression level owing to haploidy shapes gene content on the mammalian X chromosome Journal Article
In: PLoS biology, vol. 13, no. 12, pp. e1002315, 2015.
@article{hurst2015constrained,
title = {The constrained maximal expression level owing to haploidy shapes gene content on the mammalian X chromosome},
author = {Laurence D Hurst and Avazeh T Ghanbarian and Alistair RR Forrest and FANTOM consortium and Lukasz Huminiecki},
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Zhang, Wenqian; Yu, Ying; Hertwig, Falk; Thierry-Mieg, Jean; Zhang, Wenwei; Thierry-Mieg, Danielle; Wang, Jian; Furlanello, Cesare; Devanarayan, Viswanath; Cheng, Jie; others,
Comparison of RNA-seq and microarray-based models for clinical endpoint prediction Journal Article
In: Genome biology, vol. 16, no. 1, pp. 133, 2015.
@article{zhang2015comparison,
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author = {Wenqian Zhang and Ying Yu and Falk Hertwig and Jean Thierry-Mieg and Wenwei Zhang and Danielle Thierry-Mieg and Jian Wang and Cesare Furlanello and Viswanath Devanarayan and Jie Cheng and others},
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Mariano, Marilena De; 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 Journal Article
In: Oncotarget, vol. 6, no. 28, pp. 26335, 2015.
@article{demariano2015identification,
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GALNT14 as a novel candidate gene for neuroblastoma predisposition Conference
Advances in Neuroblastoma Research Association, 2014.
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