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 | 669 | 2017 |
Secondary analysis of electronic health records MITC Data Springer International Publishing, 2016 | 324* | 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 | 274* | 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 | 169 | 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 | 159 | 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 | 105* | 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 | 100 | 2015 |
Exposing the probabilistic causal structure of discrimination F Bonchi, S Hajian, B Mishra, D Ramazzotti International Journal of Data Science and Analytics, 2015 | 96 | 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 |
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 | 84 | 2022 |
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 | 70 | 2021 |
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 | 63 | 2018 |
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 | 62 | 2022 |
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 | 43 | 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 | 40* | 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 | 38 | 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 | 35* | 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 | 34 | 2019 |