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Dario Pescini
Dario Pescini
Department of Statistics and Quantitative Methods - University of Milano-Bicocca
Verified email at unimib.it
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Cited by
Year
Dynamical probabilistic P systems
D Pescini, D Besozzi, G Mauri, C Zandron
International Journal of Foundations of Computer Science 17 (01), 183-204, 2006
1262006
A metabolic core model elucidates how enhanced utilization of glucose and glutamine, with enhanced glutamine-dependent lactate production, promotes cancer cell growth: The …
C Damiani, R Colombo, D Gaglio, F Mastroianni, D Pescini, ...
PLoS computational biology 13 (9), e1005758, 2017
802017
Integration of single-cell RNA-seq data into population models to characterize cancer metabolism
C Damiani, D Maspero, M Di Filippo, R Colombo, D Pescini, A Graudenzi, ...
PLoS computational biology 15 (2), e1006733, 2019
792019
Modelling metapopulations with stochastic membrane systems
D Besozzi, P Cazzaniga, D Pescini, G Mauri
Biosystems 91 (3), 499-514, 2008
742008
Heterodyne near-field scattering: A technique for complex fluids
F Ferri, D Magatti, D Pescini, MAC Potenza, M Giglio
Physical Review E 70 (4), 041405, 2004
722004
A GPU-based multi-swarm PSO method for parameter estimation in stochastic biological systems exploiting discrete-time target series
MS Nobile, D Besozzi, P Cazzaniga, G Mauri, D Pescini
European Conference on Evolutionary Computation, Machine Learning and Data …, 2012
612012
Computational strategies for a system-level understanding of metabolism
P Cazzaniga, C Damiani, D Besozzi, R Colombo, MS Nobile, D Gaglio, ...
Metabolites 4 (4), 1034-1087, 2014
602014
Modeling and stochastic simulation of the Ras/cAMP/PKA pathway in the yeast Saccharomyces cerevisiae evidences a key regulatory function for intracellular guanine nucleotides pools
P Cazzaniga, D Pescini, D Besozzi, G Mauri, S Colombo, E Martegani
Journal of biotechnology 133 (3), 377-385, 2008
602008
Tau leaping stochastic simulation method in P systems
P Cazzaniga, D Pescini, D Besozzi, G Mauri
International Workshop on Membrane Computing, 298-313, 2006
562006
cuTauLeaping: A GPU-powered tau-leaping stochastic simulator for massive parallel analyses of biological systems
MS Nobile, P Cazzaniga, D Besozzi, D Pescini, G Mauri
PLoS One 9 (3), e91963, 2014
482014
A comparison of genetic algorithms and particle swarm optimization for parameter estimation in stochastic biochemical systems
D Besozzi, P Cazzaniga, G Mauri, D Pescini, L Vanneschi
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics …, 2009
472009
The role of feedback control mechanisms on the establishment of oscillatory regimes in the Ras/cAMP/PKA pathway in S. cerevisiae
D Besozzi, P Cazzaniga, D Pescini, G Mauri, S Colombo, E Martegani
EURASIP Journal on Bioinformatics and Systems Biology 2012, 1-17, 2012
462012
Simulation of the Ras/cAMP/PKA pathway in budding yeast highlights the establishment of stable oscillatory states
D Pescini, P Cazzaniga, D Besozzi, G Mauri, L Amigoni, S Colombo, ...
Biotechnology advances 30 (1), 99-107, 2012
412012
Zooming-in on cancer metabolic rewiring with tissue specific constraint-based models
M Di Filippo, R Colombo, C Damiani, D Pescini, D Gaglio, M Vanoni, ...
Computational biology and chemistry 62, 60-69, 2016
392016
Towards probabilistic model checking on P systems using PRISM
FJ Romero-Campero, M Gheorghe, L Bianco, D Pescini, ...
Membrane Computing: 7th International Workshop, WMC 2006, Leiden, The …, 2006
332006
popFBA: tackling intratumour heterogeneity with Flux Balance Analysis
C Damiani, M Di Filippo, D Pescini, D Maspero, R Colombo, G Mauri
Bioinformatics 33 (14), i311-i318, 2017
312017
Analysis and simulation of dynamics in probabilistic P systems
D Pescini, D Besozzi, C Zandron, G Mauri
DNA Computing: 11th International Workshop on DNA Computing, DNA11, London …, 2006
272006
INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation
M Di Filippo, D Pescini, BG Galuzzi, M Bonanomi, D Gaglio, E Mangano, ...
PLoS computational biology 18 (2), e1009337, 2022
262022
Reverse engineering of kinetic reaction networks by means of cartesian genetic programming and particle swarm optimization
MS Nobile, D Besozzi, P Cazzaniga, D Pescini, G Mauri
2013 IEEE Congress on Evolutionary Computation, 1594-1601, 2013
262013
Stochastic approaches in P systems for simulating biological systems
P Cazzaniga, D Pescini, FJ Romero Campero, D Besozzi, G Mauri
Proceedings of the Fourth Brainstorming Week on Membrane Computing, Vol. I …, 2006
242006
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