Daniele Ramazzotti
Daniele Ramazzotti
School of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy
Verified email at unimib.it - Homepage
TitleCited byYear
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
1932017
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
482015
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
462014
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
452016
Exposing the probabilistic causal structure of discrimination
F Bonchi, S Hajian, B Mishra, D Ramazzotti
International Journal of Data Science and Analytics, 2015
442015
Secondary Analysis of Electronic Health Records
MITC Data
Springer International Publishing, 2016
42*2016
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, 2018
272018
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
21*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
202016
Causal data science for financial stress testing
G Gao, B Mishra, D Ramazzotti
Journal of Computational Science, 2018
13*2018
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
11*2019
Modeling cumulative biological phenomena with Suppes-Bayes causal networks
D Ramazzotti, A Graudenzi, G Caravagna, M Antoniotti
Evolutionary Bioinformatics 14, 1176934318785167, 2018
112018
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
112017
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
92018
Efficient computational strategies to learn the structure of probabilistic graphical models of cumulative phenomena
D Ramazzotti, MS Nobile, M Antoniotti, A Graudenzi
Journal of Computational Science 30, 1-10, 2019
8*2019
Parallel implementation of efficient search schemes for the inference of cancer progression models
D Ramazzotti, MS Nobile, P Cazzaniga, G Mauri, M Antoniotti
2016 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2016
72016
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
62019
A Model of Selective Advantage for the Efficient Inference of Cancer Clonal Evolution
D Ramazzotti
PhD Thesis, 2016
62016
Design of the TRONCO BioConductor Package for TRanslational ONCOlogy
M Antoniotti, G Caravagna, L De Sano, A Graudenzi, G Mauri, B Mishra, ...
The R Journal, 2015
62015
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
5*2018
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Articles 1–20