Minnai, Francesca; Noci, Sara; Chierici, Marco; Cotroneo, Chiara; Bartolini, Barbara; Incarbone, Matteo; Tosi, Davide; Mattioni, Giovanni; Jurman, Giuseppe; Dragani, Tommaso A.; Colombo, Francesca
Genetic predisposition to lung adenocarcinoma outcome is a feature already present in patients’ non‐involved lung tissue Journal Article
In: Cancer Science, vol. 114, no. 1, pp. 281–294, 2023.
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Marugán, Jordi Martorell; Chierici, Marco; Jurman, Giuseppe; Alarcón-Riquelme, Marta E.; Carmona-Sáez, Pedro
Differential diagnosis of systemic lupus erythematosus and Sjögren’s syndrome using machine learning and multi-omics data Journal Article
In: Computers in biology and medicine, vol. 152, 2023.
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Chierici, Marco; Puica, Nicolae; Pozzi, Matteo; Capistrano, Antonello; Donzella, Marcello Dorian; Colangelo, Antonio; Osmani, Venet; Jurman, Giuseppe
Automatically detecting Crohn’s disease and Ulcerative Colitis from endoscopic imaging Journal Article
In: BMC Medical Informatics and Decision Making, vol. 22, no. Suppl 6, 2022.
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Buonaiuto, Silvia; Biase, Immacolata Di; Aleotti, Valentina; Ravaei, Amin; Marino, Adriano De; Damaggio, Gianluca; Chierici, Marco; Pulijala, Madhuri; D’Ambrosio, Palmira; Esposito, Gabriella; others,
Prioritization of putatively detrimental variants in euploid miscarriages Journal Article
In: Scientific reports, vol. 12, no. 1, pp. 1–12, 2022.
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Mortera, Stefano Levi; Vernocchi, Pamela; Basadonne, Ilaria; Zandon`a, Alessandro; Chierici, Marco; Durighello, Martina; Marzano, Valeria; Gardini, Simone; Gasbarrini, Antonio; Urbani, Andrea; Vicari, Stefano; Roncada, Paola; Furlanello, Cesare; Venuti, Paola; Putignani, Lorenza
A metaproteomic-based gut microbiota profiling in children affected by autism spectrum disorders Journal Article
In: Journal of Proteomics, vol. 251, pp. 104407, 2022.
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Prioritization of putatively detrimental variants in euploid miscarriages Journal Article
In: medRxiv, 2021.
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Rustici, Gabriella; Williams, Eleanor; Barzine, Mitra; Brazma, Alvis; Bumgarner, Roger; Chierici, Marco; Furlanello, Cesare; Greger, Liliana; Jurman, Giuseppe; Miller, Michael; Ouellette, B. F. Francis; Quackenbush, John; Reich, Michael; Stoeckert, Christian J.; Taylor, Ronald C.; Trutane, Stephen Chervitz; Weller, Jennifer; Wilhelm, Brian; Winegarden, Neil
Transcriptomics data availability and reusability in the transition from microarray to next-generation sequencing Journal Article
In: bioRxiv, 2021.
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Grapotte, Mathys; Saraswat, Manu; Bessi`ere, Chloé; Menichelli, Christophe; Ramilowski, Jordan A; Severin, Jessica; Hayashizaki, Yoshihide; Itoh, Masayoshi; Tagami, Michihira; Murata, Mitsuyoshi; others,
Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network Journal Article
In: Nature communications, vol. 12, no. 1, pp. 1–18, 2021.
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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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Evaluating reproducibility of AI algorithms in digital pathology with DAPPER Journal Article
In: PLoS computational biology, vol. 15, no. 3, pp. e1006269, 2019.
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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.
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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.
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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.
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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,
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}