Daniele Ramazzotti
Daniele Ramazzotti
Department of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy
Email verificata su - Home page
Citata da
Citata da
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
Secondary analysis of electronic health records
Springer International Publishing, 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
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
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
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
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
Exposing the probabilistic causal structure of discrimination
F Bonchi, S Hajian, B Mishra, D Ramazzotti
International Journal of Data Science and Analytics, 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
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
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
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
Learning the structure of Bayesian Networks: A quantitative assessment of the effect of different algorithmic schemes
S Beretta, M Castelli, I Gonšalves, R Henriques, D Ramazzotti
Complexity 2018 (1), 1591878, 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
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
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
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
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
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
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 Associationá…, 2019
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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