Daniele Ramazzotti

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Citations	1777	1721
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Alex GraudenziDept. of Informatics, Systems and Communication, Univ. of Milan-BicoccaVerified email at unimib.it
Marco AntoniottiProfessor of Computer Science, Università degli Studi di Milano-BicoccaVerified email at unimib.it
Giulio CaravagnaCancer Data Science Laboratory, University of TriesteVerified email at units.it
Bud MishraProfessor of Computer Science and MathematicsVerified email at nyu.edu
Luca De SanoUniversità degli Studi di Milano BicoccaVerified email at campus.unimib.it
Giancarlo MauriProfessor of Computer Science - University of Milano-BicoccaVerified email at disco.unimib.it
Rocco PiazzaUniversity of Milano-BicoccaVerified email at unimib.it
Davide MasperoSingle Cell Genomics Team - Centre Nacional d’Anàlisi Genòmica (CNAG-CRG), Barcelona, SpainVerified email at cnag.crg.eu
Bo WangLead AI Scientist, PMCC UHN; CIFAR AI Chair, Vector Institute; Assistant Professor, U of TorontoVerified email at vectorinstitute.ai
Fabrizio AngaroniUniversity of Milano BicoccaVerified email at unimib.it
Loes Olde LoohuisAssistant professor at UCLAVerified email at mednet.ucla.edu
Serafim BatzoglouSeerVerified email at seer.bio
Junjie ZhuApple Inc.Verified email at stanford.edu
Avantika LalInsitroVerified email at insitro.com
Emma PiersonCornell TechVerified email at cornell.edu
Carlo Gambacorti PasseriniProfessorVerified email at unimib.it
Zoltán KutalikUniversity of Lausanne / UnisanteVerified email at unil.ch
G StolovitzkyChief Science Officer, Sema4Verified email at sema4.com
Donna SlonimProfessor, Computer Science, Tufts University; Genetics, Grad. School of Biomedical SciencesVerified email at tufts.edu
Lenore J. CowenProfessor of Computer Science, Tufts UniversityVerified email at cs.tufts.edu

Daniele Ramazzotti

Department of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy

Verified email at unimib.it - Homepage

Computer Science Cancer Genomics Machine Learning


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Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning B Wang, J Zhu, E Pierson, D Ramazzotti, S Batzoglou Nature Methods 14 (4), 414-416, 2017	478	2017
Assessment of network module identification across complex diseases S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ... Nature Methods 16 (9), 843-852, 2019	165*	2019
Secondary analysis of electronic health records MITC Data Springer International Publishing, 2016	155*	2016
Detecting repeated cancer evolution from multi-region tumor sequencing data G Caravagna, Y Giarratano, D Ramazzotti, I Tomlinson, TA Graham, ... Nature methods 15 (9), 707-714, 2018	109	2018
Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival D Ramazzotti, A Lal, B Wang, S Batzoglou, A Sidow Nature Communications 9 (1), 4453, 2018	102	2018
CAPRI: efficient inference of cancer progression models from cross-sectional data D Ramazzotti, G Caravagna, LO Loohuis, A Graudenzi, I Korsunsky, ... Bioinformatics 31 (18), 3016-3026, 2015	81	2015
Algorithmic methods to infer the evolutionary trajectories in cancer progression G Caravagna, A Graudenzi, D Ramazzotti, R Sanz-Pamplona, L De Sano, ... Proceedings of the National Academy of Sciences 113 (28), E4025-E4034, 2016	78	2016
Exposing the probabilistic causal structure of discrimination F Bonchi, S Hajian, B Mishra, D Ramazzotti International Journal of Data Science and Analytics, 2015	78	2015
SIMLR: A Tool for Large‐Scale Genomic Analyses by Multi‐Kernel Learning B Wang, D Ramazzotti, L De Sano, J Zhu, E Pierson, S Batzoglou PROTEOMICS, 2017	71	2017
Inferring tree causal models of cancer progression with probability raising LO Loohuis, G Caravagna, A Graudenzi, D Ramazzotti, G Mauri, ... PloS one 9 (10), e108358, 2014	61	2014
Mutational signatures and heterogeneous host response revealed via large-scale characterization of SARS-CoV-2 genomic diversity A Graudenzi, D Maspero, F Angaroni, R Piazza, D Ramazzotti iScience, 102116, 2021	38	2021
VERSO: a comprehensive framework for the inference of robust phylogenies and the quantification of intra-host genomic diversity of viral samples D Ramazzotti, F Angaroni, D Maspero, C Gambacorti-Passerini, ... Patterns, 100212, 2021	36*	2021
TRONCO: an R package for the inference of cancer progression models from heterogeneous genomic data L De Sano, G Caravagna, D Ramazzotti, A Graudenzi, G Mauri, B Mishra, ... Bioinformatics 32 (12), 1911-1913, 2016	36	2016
Learning the structure of Bayesian Networks: A quantitative assessment of the effect of different algorithmic schemes S Beretta, M Castelli, I Gonçalves, R Henriques, D Ramazzotti Complexity 2018, 2018	34	2018
OncoScore: a novel, Internet-based tool to assess the oncogenic potential of genes R Piazza, D Ramazzotti, R Spinelli, A Pirola, L De Sano, P Ferrari, ... Scientific reports 7, 46290, 2017	33	2017
Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data D Ramazzotti, A Graudenzi, L De Sano, M Antoniotti, G Caravagna BMC Bioinformatics 20 (1), 210, 2019	30	2019
De novo mutational signature discovery in tumor genomes using SparseSignatures A Lal, K Liu, R Tibshirani, A Sidow, D Ramazzotti PLOS Computational Biology 17 (6), e1009119, 2021	22*	2021
Causal data science for financial stress testing G Gao, B Mishra, D Ramazzotti Journal of Computational Science, 2018	22*	2018
Comprehensive genomic characterization of breast tumors with BRCA1 and BRCA2 mutations A Lal, D Ramazzotti, Z Weng, K Liu, JM Ford, A Sidow BMC medical genomics 12 (1), 1-13, 2019	21	2019
Improved survival of cancer patients admitted to the intensive care unit between 2002 and 2011 at a US Teaching Hospital CM Sauer, J Dong, LA Celi, D Ramazzotti Cancer Research and Treatment: Official Journal of Korean Cancer Association …, 2019	18	2019

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