Daniele Ramazzotti

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i10-index	34	33

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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
Bo WangChief AI Scientist,UHN; CIFAR AI Chair, Vector Institute; Assistant Professor, U of TorontoVerified email at vectorinstitute.ai
Fabrizio AngaroniHuman TechnopoleVerified email at fht.org
Carlo Gambacorti PasseriniProfessorVerified email at unimib.it
Davide MasperoSingle Cell Genomics Team - Centre Nacional d’Anàlisi Genòmica (CNAG-CRG), Barcelona, SpainVerified email at cnag.crg.eu
Serafim BatzoglouSeerVerified email at seer.bio
Jason (Junjie) ZhuApple, StanfordVerified email at stanford.edu
Emma PiersonUniversity of California, BerkeleyVerified email at berkeley.edu
Loes Olde LoohuisAssistant professor at UCLAVerified email at mednet.ucla.edu
Andrea Aroldi, MDPost-doctoral Research Fellow, University of Milano-BicoccaVerified email at unimib.it
Avantika LalGenentechVerified email at gene.com
Andrea SottorivaHuman TechnopoleVerified email at fht.org
Valentina CrippaPhD student, University of Milano-BicoccaVerified email at campus.unimib.it
mario mauripost doctoral position, 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	729	2017
Secondary analysis of electronic health records MITC Data Springer International Publishing, 2016	363*	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	321	2019
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	184	2018
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	181	2018
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	127	2022
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	114*	2017
Exposing the probabilistic causal structure of discrimination F Bonchi, S Hajian, B Mishra, D Ramazzotti International Journal of Data Science and Analytics, 2015	103	2015
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	102	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	93	2016
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	88	2022
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	77	2021
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	72	2014
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	68	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	50	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	47	2016
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	40	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	40	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	39	2021

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