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Simone Pernice
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2020 – today
- 2024
- [j9]Simone Alessandri, Maria L. Ratto, Sergio Rabellino, Gabriele Piacenti, Sandro Gepiro Contaldo, Simone Pernice, Marco Beccuti, Raffaele A. Calogero, Luca Alessandrì:
CREDO: a friendly Customizable, REproducible, DOcker file generator for bioinformatics applications. BMC Bioinform. 25(1): 110 (2024) - [j8]Elvio Gilberto Amparore, Marco Beccuti, Paolo Castagno, Simone Pernice, Giuliana Franceschinis, Marzio Pennisi:
From Compositional Petri Net Modeling to Macro and Micro Simulation by Means of Stochastic Simulation and Agent-Based Models. ACM Trans. Model. Perform. Evaluation Comput. Syst. 9(1): 1:1-1:30 (2024) - 2023
- [j7]Simone Pernice, Roberta Sirovich, Elena Grassi, Marco Viviani, Martina Ferri, Francesco Sassi, Luca Alessandrì, Dora Tortarolo, Raffaele A. Calogero, Livio Trusolino, Andrea Bertotti, Marco Beccuti, Martina Olivero, Francesca Cordero:
CONNECTOR, fitting and clustering of longitudinal data to reveal a new risk stratification system. Bioinform. 39(5) (2023) - [j6]Simone Pernice, Alessandro Maglione, Dora Tortarolo, Roberta Sirovich, Marinella Clerico, Simona Rolla, Marco Beccuti, Francesca Cordero:
A new computational workflow to guide personalized drug therapy. J. Biomed. Informatics 148: 104546 (2023) - [c13]Dora Tortarolo, Simone Pernice, Fabiana Clapero, Donatella Valdembri, Guido Serini, Federica Riccardo, Lidia Tarone, Chiara Enrico Bena, Carla Bosia, Sandro Gepiro Contaldo, Marco Beccuti, Marzio Pennisi, Francesca Cordero:
OmniReprodubileCellAnalysis: a comprehensive toolbox for the analysis of cellular biology data. BIBM 2023: 3748-3755 - [c12]Simone Avesani, Vincenzo Bonnici, Simone Pernice, Marco Beccuti, Rosalba Giugno:
MODIMO: Workshop on Multi-Omics Data Integration for Modelling Biological Systems. CIKM 2023: 5259-5262 - [c11]Carlo Alberto Barbano, Marco Beccuti, Francesca Cordero, Desislav Nikolaev Ivanov, Nicola Licheri, Simone Pernice, Alberto Presta, Riccardo Renzulli, Marco Grangetto:
Artificial intelligence methods for biomedical imaging and omics data. Ital-IA 2023: 154-159 - 2022
- [j5]Daniele Baccega, Simone Pernice, Pietro Terna, Paolo Castagno, Giovenale Moirano, Lorenzo Richiardi, Matteo Sereno, Sergio Rabellino, Milena Maria Maule, Marco Beccuti:
An Agent-Based Model to Support Infection Control Strategies at School. J. Artif. Soc. Soc. Simul. 25(3) (2022) - 2021
- [c10]Elvio Gilberto Amparore, Marco Beccuti, Paolo Castagno, Giuliana Franceschinis, Marzio Pennisi, Simone Pernice:
Multiformalism modeling and simulation of immune system mechanisms. BIBM 2021: 3259-3266 - [c9]Marco Beccuti, Paolo Castagno, Giuliana Franceschinis, Marzio Pennisi, Simone Pernice:
A Petri Net Formalism to Study Systems at Different Scales Exploiting Agent-Based and Stochastic Simulations. EPEW 2021: 22-43 - 2020
- [j4]Paolo Castagno, Simone Pernice, Gianni Ghetti, Massimiliano Povero, Lorenzo Pradelli, Daniela Paolotti, Gianfranco Balbo, Matteo Sereno, Marco Beccuti:
A computational framework for modeling and studying pertussis epidemiology and vaccination. BMC Bioinform. 21-S(8): 344 (2020) - [j3]Simone Pernice, Laura Follia, Alessandro Maglione, Marzio Pennisi, Francesco Pappalardo, Francesco Novelli, Marinella Clerico, Marco Beccuti, Francesca Cordero, Simona Rolla:
Computational modeling of the immune response in multiple sclerosis using epimod framework. BMC Bioinform. 21-S(17): 550 (2020) - [j2]Simone Pernice, Laura Follia, Gianfranco Balbo, Luciano Milanesi, Giulia Sartini, Niccoló Totis, Pietro Lió, Ivan Merelli, Francesca Cordero, Marco Beccuti:
Integrating Petri Nets and Flux Balance Methods in Computational Biology Models: a Methodological and Computational Practice. Fundam. Informaticae 171(1-4): 367-392 (2020) - [i1]Simone Pernice, Marco Beccuti, Greta Romano, Marzio Pennisi, Alessandro Maglione, Santina Cutrupi, Francesco Pappalardo, Lorenzo Capra, Giuliana Franceschinis, Massimiliano De Pierro, Gianfranco Balbo, Francesca Cordero, Raffaele A. Calogero:
Multiple Sclerosis disease: a computational approach for investigating its drug interactions. CoRR abs/2006.00813 (2020)
2010 – 2019
- 2019
- [j1]Simone Pernice, Marzio Pennisi, Greta Romano, Alessandro Maglione, Santina Cutrupi, Francesco Pappalardo, Gianfranco Balbo, Marco Beccuti, Francesca Cordero, Raffaele A. Calogero:
A computational approach based on the colored Petri net formalism for studying multiple sclerosis. BMC Bioinform. 20-S(6): 623 (2019) - [c8]Simone Pernice, Greta Romano, Giulia Russo, Marco Beccuti, Marzio Pennisi, Francesco Pappalardo:
Exploiting Stochastic Petri Net formalism to capture the Relapsing Remitting Multiple Sclerosis variability under Daclizumab administration. BIBM 2019: 2168-2175 - [c7]Simone Pernice, Marco Beccuti, Greta Romano, Marzio Pennisi, Alessandro Maglione, Santina Cutrupi, Francesco Pappalardo, Lorenzo Capra, Giuliana Franceschinis, Massimiliano De Pierro, Gianfranco Balbo, Francesca Cordero, Raffaele A. Calogero:
Multiple Sclerosis Disease: A Computational Approach for Investigating Its Drug Interactions. CIBB 2019: 299-308 - [c6]Marco Beccuti, Lorenzo Capra, Massimiliano De Pierro, Giuliana Franceschinis, Laura Follia, Simone Pernice:
A Tool for the Automatic Derivation of Symbolic ODE from Symmetric Net Models. MASCOTS 2019: 36-48 - [c5]Giulia Beatrice Piaggeschi, Nicola Licheri, Greta Romano, Simone Pernice, Laura Follia, Giulio Ferrero:
MethylFASTQ: A Tool Simulating Bisulfite Sequencing Data. PDP 2019: 334-339 - 2018
- [c4]Simone Pernice, Marco Beccuti, Pietro Do', Marzio Pennisi, Francesco Pappalardo:
Estimating Daclizumab effects in Multiple Sclerosis using Stochastic Symmetric Nets. BIBM 2018: 1393-1400 - [c3]Marco Beccuti, Lorenzo Capra, Massimiliano De Pierro, Giuliana Franceschinis, Simone Pernice:
Deriving Symbolic Ordinary Differential Equations from Stochastic Symmetric Nets Without Unfolding. EPEW 2018: 30-45 - [c2]Marco Beccuti, Paolo Cazzaniga, Marzio Pennisi, Daniela Besozzi, Marco S. Nobile, Simone Pernice, Giulia Russo, Andrea Tangherloni, Francesco Pappalardo:
GPU Accelerated Analysis of Treg-Teff Cross Regulation in Relapsing-Remitting Multiple Sclerosis. Euro-Par Workshops 2018: 626-637 - [c1]Laura Follia, Fabio Tordini, Simone Pernice, Greta Romano, Giulia Beatrice Piaggeschi, Giulio Ferrero:
ParallNormal: An Efficient Variant Calling Pipeline for Unmatched Sequencing Data. PDP 2018: 423-429
Coauthor Index
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