Dario Pescini

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Giancarlo MauriProfessor emeritus of Computer Science - University of Milano-BicoccaEmail verificata su unimib.it
Daniela BesozziAssociate Professor, University of Milano-BicoccaEmail verificata su unimib.it
Paolo CazzanigaAssociate Professor, University of BergamoEmail verificata su unibg.it
Chiara DamianiDepartment of Biotechnology and BiosciencesEmail verificata su unimib.it
Riccardo ColomboBioRep S.r.l.Email verificata su biorep.it
Marzia Di FilippoUniversity of Milano-BicoccaEmail verificata su unimib.it
Marco S. NobileAssociate Professor, Ca' Foscari University of VeniceEmail verificata su unive.it
Marco VanoniUniversity of Milano Bicocca, Professor of Biochemistry and Systems BiologyEmail verificata su unimib.it
Lilia AlberghinaEmeritus Professor of Biochemistry, University of Milano-BicoccaEmail verificata su unimib.it
Davide MasperoSingle Cell Genomics Team - Centre Nacional d’Anàlisi Genòmica (CNAG-CRG), Barcelona, SpainEmail verificata su cnag.crg.eu
Claudio ZandronAssociate Professor, University of Milano-Bicocca, ItalyEmail verificata su unimib.it
enzo marteganiUniversità Milano BicoccaEmail verificata su unimib.it
sonia colomboUniversità Milano-BicoccaEmail verificata su unimib.it
Alex GraudenziDept. of Informatics, Systems and Communication, Univ. of Milan-BicoccaEmail verificata su unimib.it
Hans WesterhoffUniversity of Amsterdam, VU University Amsterdam, University of ManchesterEmail verificata su manchester.ac.uk
Fabio FerriProf. in Physics, Universita dell'Insubria, como italyEmail verificata su uninsubria.it
Marco A.C. PotenzaDepartment of Physics and CIMAINA - University of MilanEmail verificata su unimi.it
Sara Molinari, Ph.D.Assistant Professor, University of Maryland College ParkEmail verificata su umd.edu
Francisco J. Romero-CamperoAssociate Professor, Universidad de SevillaEmail verificata su us.es
Marian GheorgheUniversity of BradfordEmail verificata su bradford.ac.uk

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Dario Pescini

Department of Statistics and Quantitative Methods - University of Milano-Bicocca

Email verificata su unimib.it

Systems Biology Modelling Omics


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Dynamical probabilistic P systems D Pescini, D Besozzi, G Mauri, C Zandron International Journal of Foundations of Computer Science 17 (01), 183-204, 2006	127	2006
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	95	2019
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	92	2017
Heterodyne near-field scattering: A technique for complex fluids F Ferri, D Magatti, D Pescini, MAC Potenza, M Giglio Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 70 (4 …, 2004	77	2004
Modelling metapopulations with stochastic membrane systems D Besozzi, P Cazzaniga, D Pescini, G Mauri Biosystems 91 (3), 499-514, 2008	74	2008
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	64	2014
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	61	2012
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	60	2008
Tau leaping stochastic simulation method in P systems P Cazzaniga, D Pescini, D Besozzi, G Mauri International Workshop on Membrane Computing, 298-313, 2006	55	2006
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	52	2014
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	48	2012
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	47	2009
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	41	2022
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	41	2012
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	39	2016
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	34	2006
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	31	2017
Single-cell digital twins for cancer preclinical investigation MD Filippo, C Damiani, M Vanoni, D Maspero, G Mauri, L Alberghina, ... Metabolic Flux Analysis in Eukaryotic Cells: Methods and Protocols, 331-343, 2020	29	2020
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	28	2013
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	27	2006

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