Daniele Ramazzotti

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Citations	3014	2648
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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
Rocco PiazzaUniversity of Milano-BicoccaVerified email at unimib.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 emeritus of Computer Science - University of Milano-BicoccaVerified email at unimib.it
Fabrizio AngaroniHuman TechnopoleVerified email at fht.org
Bo WangChief AI Scientist,UHN; CIFAR AI Chair, Vector Institute; Assistant Professor, U of TorontoVerified email at vectorinstitute.ai
Davide MasperoSingle Cell Genomics Team - Centre Nacional d’Anàlisi Genòmica (CNAG-CRG), Barcelona, SpainVerified email at cnag.crg.eu
Carlo Gambacorti PasseriniProfessorVerified email at unimib.it
Serafim BatzoglouSeerVerified email at seer.bio
Junjie ZhuApple Inc.Verified email at stanford.edu
Loes Olde LoohuisAssistant professor at UCLAVerified email at mednet.ucla.edu
Emma PiersonCornell TechVerified email at cornell.edu
Avantika LalGenentechVerified email at gene.com
Andrea SottorivaHuman TechnopoleVerified email at fht.org
Leo Anthony CeliMassachusetts Institute of TechnologyVerified email at mit.edu
Trevor A GrahamDirector, Centre for Evolution and Cancer, ICR, LondonVerified email at icr.ac.uk
Andrea Aroldi, MDPost-doctoral Research Fellow, University of Milano-BicoccaVerified email at unimib.it

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	689	2017
Secondary analysis of electronic health records MITC Data Springer International Publishing, 2016	337*	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	293	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	174	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	161	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	108*	2017
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	101	2015
Exposing the probabilistic causal structure of discrimination F Bonchi, S Hajian, B Mishra, D Ramazzotti International Journal of Data Science and Analytics, 2015	100	2015
Phenotypic plasticity and genetic control in colorectal cancer evolution J Househam, T Heide, GD Cresswell, I Spiteri, C Kimberley, L Zapata, ... Nature, 1-10, 2022	96	2022
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	93	2016
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	73	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	71	2021
The co-evolution of the genome and epigenome in colorectal cancer T Heide, J Househam, GD Cresswell, I Spiteri, C Lynn, M Mossner, ... Nature, 1-11, 2022	70	2022
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 (1), 1591878, 2018	66	2018
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	47	2016
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	45	2017
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	41*	2021
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	39	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	37*	2021
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	35	2019

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