Daniele Ramazzotti

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Alex GraudenziInstitute of Molecular Bioimaging and Physiology, Consiglio Nazionale delle Ricerche (IBFM-CNR)Verified email at unimib.it
Marco AntoniottiAssociate Professor 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
Bo WangLead AI Scientist, PMCC UHN; CIFAR AI Chair, Vector Institute; Assistant Professor, U of TorontoVerified email at vectorinstitute.ai
Rocco PiazzaUniversity of Milano-BicoccaVerified email at unimib.it
Serafim BatzoglouSeerVerified email at seer.bio
Loes Olde LoohuisAssistant professor at UCLAVerified email at mednet.ucla.edu
Emma PiersonMicrosoft Research, Stanford UniversityVerified email at cs.stanford.edu
Junjie ZhuApple Inc.Verified email at stanford.edu
Davide MasperoDepartment of computer science, systems and communications, University of Milano - BicoccaVerified email at campus.unimib.it
Zoltán KutalikCHUV - University of LausanneVerified email at unil.ch
G StolovitzkyProgram Director, Translational Systems Biology and NanobiotechnologyVerified email at us.ibm.com
Daniel MarbachRoche Pharma Research and Early Development, Basel, SwitzerlandVerified email at roche.com
Donna SlonimAssociate Professor of Computer Science, Tufts University; Genetics Faculty, Sackler School of Graduate Biomedical Sciences, TufVerified email at tufts.edu
Lenore J. CowenProfessor of Computer Science, Tufts UniversityVerified email at cs.tufts.edu
Sven BergmannUniversity of Lausanne, Department of Computational BiologyVerified email at unil.ch
Fabrizio AngaroniUniversity of Milano BicoccaVerified email at unimib.it

Daniele Ramazzotti

School 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	340	2017
Secondary analysis of electronic health records MITC Data Springer International Publishing, 2016	99*	2016
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	87*	2019
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	72	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	65	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	64	2016
Exposing the probabilistic causal structure of discrimination F Bonchi, S Hajian, B Mishra, D Ramazzotti International Journal of Data Science and Analytics, 2015	62	2015
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	52	2014
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	47	2018
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	43*	2017
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	26	2017
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	26	2016
Causal data science for financial stress testing G Gao, B Mishra, D Ramazzotti Journal of Computational Science, 2018	18*	2018
Modeling cumulative biological phenomena with Suppes-Bayes causal networks D Ramazzotti, A Graudenzi, G Caravagna, M Antoniotti Evolutionary Bioinformatics 14, 1176934318785167, 2018	16	2018
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	16*	2018
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	15	2019
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	14*	2021
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	11	2021
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	10	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	10	2019

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