Giulio Caravagna
Giulio Caravagna
Cancer Data Science Laboratory, University of Trieste
Verified email at - Homepage
Cited by
Cited by
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
CAPRI: efficient inference of cancer progression models from cross-sectional data
D Ramazzotti, G Caravagna, L Olde Loohuis, A Graudenzi, I Korsunsky, ...
Bioinformatics 31 (18), 3016-3026, 2015
Algorithmic methods to infer the evolutionary trajectories in cancer progression
G Caravagna, A Graudenzi, D Ramazzotti, R Sanz-Pamplona, L De Sano, ...
PNAS 113 (28), E4025–E4034, 2016
Tumour suppression by immune system through stochastic oscillations
G Caravagna, A d’Onofrio, P Milazzo, R Barbuti
Journal of theoretical biology 265 (3), 336-345, 2010
Subclonal reconstruction of tumors by using machine learning and population genetics
G Caravagna, T Heide, MJ Williams, L Zapata, D Nichol, K Chkhaidze, ...
Nature genetics 52 (9), 898-907, 2020
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
Exploiting evolutionary steering to induce collateral drug sensitivity in cancer
A Acar, D Nichol, J Fernandez-Mateos, GD Cresswell, I Barozzi, SP Hong, ...
Nature communications 11 (1), 1923, 2020
Spatially constrained tumour growth affects the patterns of clonal selection and neutral drift in cancer genomic data
K Chkhaidze, T Heide, B Werner, MJ Williams, W Huang, G Caravagna, ...
PLoS computational biology 15 (7), e1007243, 2019
The interplay of intrinsic and extrinsic bounded noises in biomolecular networks
G Caravagna, G Mauri, A d'Onofrio
PLoS One 8 (2), e51174, 2013
The calculus of looping sequences
R Barbuti, G Caravagna, A Maggiolo–Schettini, P Milazzo, G Pardini
Formal Methods for Computational Systems Biology: 8th International School …, 2008
Evolutionary dynamics of residual disease in human glioblastoma
I Spiteri, G Caravagna, GD Cresswell, A Vatsiou, D Nichol, A Acar, ...
Annals of Oncology 30 (3), 456-463, 2019
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
Chromatin Velocity reveals epigenetic dynamics by single-cell profiling of heterochromatin and euchromatin
M Tedesco, F Giannese, D Lazarević, V Giansanti, D Rosano, S Monzani, ...
Nature Biotechnology 40 (2), 235-244, 2022
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), 1-13, 2019
Investigating the relation between stochastic differentiation, homeostasis and clonal expansion in intestinal crypts via multiscale modeling
A Graudenzi, G Caravagna, G De Matteis, M Antoniotti
PLoS One 9 (5), e97272, 2014
Delay stochastic simulation of biological systems: a purely delayed approach
R Barbuti, G Caravagna, A Maggiolo-Schettini, P Milazzo
Transactions on Computational Systems Biology XIII, 61-84, 2011
Reply to ‘Neutral tumor evolution?’
T Heide, L Zapata, MJ Williams, B Werner, G Caravagna, CP Barnes, ...
Nature genetics 50 (12), 1633-1637, 2018
Bio-PEPAd: a non-Markovian extension of Bio-PEPA
G Caravagna, J Hillston
Theoretical Computer Science 419, 26-49, 2012
Formal modeling and simulation of biological systems with delays
G Caravagna
Universita di Pisa, 2011
CABeRNET: a Cytoscape app for augmented Boolean models of gene regulatory NETworks
A Paroni, A Graudenzi, G Caravagna, C Damiani, G Mauri, M Antoniotti
BMC bioinformatics 17 (1), 1-12, 2016
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