Giulio Caravagna

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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
Daniele RamazzottiDepartment of Medicine and Surgery, University of Milano-Bicocca, Milano, ItalyVerified email at unimib.it
Alberto d'OnofrioUniversità di TriesteVerified email at units.it
Andrea SottorivaHuman TechnopoleVerified email at fht.org
Bud MishraProfessor of Computer Science and MathematicsVerified email at nyu.edu
Trevor A GrahamDirector, Centre for Evolution and Cancer, ICR, LondonVerified email at icr.ac.uk
Benjamin WernerBarts Cancer Institute, Queen Mary University LondonVerified email at qmul.ac.uk
Guido SanguinettiReader in Informatics, University of EdinburghVerified email at inf.ed.ac.uk
Dr George D CresswellInstitute of Cancer ResearchVerified email at icr.ac.uk
Ahmet AcarMiddle East Technical UniversityVerified email at metu.edu.tr
Marc J WilliamsMemorial Sloan Kettering Cancer CenterVerified email at mskcc.org
William CrossPostdoctoral Research Fellow, University College LondonVerified email at ucl.ac.uk
Luis ZapataICR fellow, Center For Evolution And Cancer, ICRVerified email at icr.ac.uk
Chris P BarnesUniversity College LondonVerified email at ucl.ac.uk
Jane HillstonProfessor of Quantitative Modelling, University of EdinburghVerified email at ed.ac.uk
Javier Fernández-MateosPDTF University of Oviedo, SpainVerified email at uniovi.es
Luca MagnaniChair cancer adaptation and evolution/CRUK fellow/ Imperial College LondonVerified email at imperial.ac.uk
Iros BarozziMedical University of Vienna; Imperial College LondonVerified email at meduniwien.ac.at
Nicola ValeriThe Institute of Cancer Research LondonVerified email at icr.ac.uk

Giulio Caravagna

Cancer Data Science Laboratory, University of Trieste

Verified email at units.it - Homepage

Cancer Data Science Cancer Evolution Bioinformatics Computational Biology


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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	120	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	87	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	81	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	66*	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	63*	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	63	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	58	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	58	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	50	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	46	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	44	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	40	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	30	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	29	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	28*	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	28	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	24	2018
Bio-PEPAd: a non-Markovian extension of Bio-PEPA G Caravagna, J Hillston Theoretical Computer Science 419, 26-49, 2012	23	2012
Formal modeling and simulation of biological systems with delays G Caravagna Universita di Pisa, 2011	21	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	19	2016

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