Giulio Caravagna
Giulio Caravagna
Institute for Cancer Research, London, UK.
Verified email at di.unipi.it - Homepage
TitleCited byYear
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
462015
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
452014
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
43*2010
The calculus of looping sequences
R Barbuti, G Caravagna, A Maggiolo–Schettini, P Milazzo, G Pardini
International School on Formal Methods for the Design of Computerá…, 2008
432008
The interplay of intrinsic and extrinsic bounded noises in biomolecular networks
G Caravagna, G Mauri, A d'Onofrio
PLoS One 8 (2), e51174, 2013
422013
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
402016
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
262018
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
262011
Bio-PEPAd: a non-Markovian extension of Bio-PEPA
G Caravagna, J Hillston
Theoretical Computer Science 419, 26-49, 2012
192012
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
182016
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
18*2014
Formal modeling and simulation of biological systems with delays
G Caravagna
Universita di Pisa, 2011
162011
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), 64, 2016
142016
Lazy security controllers
G Caravagna, G Costa, G Pardini
International Workshop on Security and Trust Management, 33-48, 2012
132012
Bounded noises as a natural tool to model extrinsic fluctuations in biomolecular networks
S De Franciscis, G Caravagna, A d’Onofrio
Natural Computing 13 (3), 297-307, 2014
122014
Fine-tuning anti-tumor immunotherapies via stochastic simulations
G Caravagna, R Barbuti, A d'Onofrio
BMC bioinformatics 13 (4), S8, 2012
122012
On the interpretation of delays in delay stochastic simulation of biological systems
R Barbuti, G Caravagna, P Milazzo, A Maggiolo-Schettini
arXiv preprint arXiv:0910.1219, 2009
122009
Modeling cumulative biological phenomena with suppes-bayes causal networks
D Ramazzotti, A Graudenzi, G Caravagna, M Antoniotti
Evolutionary Bioinformatics 14, 1176934318785167, 2018
112018
An intermediate language for the simulation of biological systems
R Barbuti, G Caravagna, A Maggiolo–Schettini, P Milazzo
Electronic Notes in Theoretical Computer Science 194 (3), 19-34, 2008
112008
Gene switching rate determines response to extrinsic perturbations in the self-activation transcriptional network motif
S De Franciscis, G Caravagna, G Mauri, A d’Onofrio
Scientific reports 6, 26980, 2016
102016
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Articles 1–20