Sfoglia per Autore
GRAPES-DD: exploiting decision diagrams for index-driven search in biological graph databases
2021-01-01 Nicola Licheri, Vincenzo Bonnici, Marco Beccuti, Rosalba Giugno
MET Exon 14 Skipping: A Case Study for the Detection of Genetic Variants in Cancer Driver Genes by Deep Learning
2021-01-01 Nosi, Vladimir; Luca, Alessandrì; Milan, Melissa; Arigoni, Maddalena; Benvenuti, Silvia; Cacchiarelli, Davide; Cesana, Marcella; Riccardo, Sara; Di Filippo, Lucio; Cordero, Francesca; Beccuti, Marco; Comoglio, Paolo M.; Calogero, Raffaele A.
Sparsely connected autoencoders: A multi‐purpose tool for single cell omics analysis
2021-01-01 Alessandri L.; Ratto M.L.; Contaldo S.G.; Beccuti M.; Cordero F.; Arigoni M.; Calogero R.A.
Application of the Euro Clonality next-generation sequencing-based marker screening approach to detect immunoglobulin heavy chain rearrangements in mantle cell lymphoma patients: first data from the Fondazione Italiana Linfomi MCL0208 trial
2021-01-01 Genuardi, Elisa; Romano, Greta; Beccuti, Marco; Alessandria, Beatrice; Mannina, Donato; Califano, Catello; Rota Scalabrini, Delia; Cortelazzo, Sergio; Ladetto, Marco; Ferrero, Simone; Calogero, Raffaele A; Cordero, Francesca
A Petri net formalism to study systems at different scales exploiting agent-based and stochastic simulations.
2021-01-01 Beccuti, M., Castagno, P., Franceschinis, G., Pennisi, M., Pernice, S.
Multiple sclerosis disease: A computational approach for investigating its drug interactions
2020-01-01 Pernice S.; Beccuti M.; Romano G.; Pennisi M.; Maglione A.; Cutrupi S.; Pappalardo F.; Capra L.; Franceschinis G.; De Pierro M.; Balbo G.; Cordero F.; Calogero R.
Impacts of reopening strategies for COVID-19 epidemic: a modeling study in Piedmont region
2020-01-01 Pernice S.; Castagno P.; Marcotulli L.; Maule M.M.; Richiardi L.; Moirano G.; Sereno M.; Cordero F.; Beccuti M.
Efficient and Settings-Free Calibration of Detailed Kinetic Metabolic Models with Enzyme Isoforms Characterization
2020-01-01 Totis N.; Tangherloni A.; Beccuti M.; Cazzaniga P.; Nobile M.S.; Besozzi D.; Pennisi M.; Pappalardo F.
Integrating Petri Nets and Flux Balance Methods in Computational Biology Models: a Methodological and Computational Practice
2020-01-01 Simone Pernice, Laura Follia, Gianfranco Balbo, Luciano Milanesi, Giulia Sartini, Niccolò Totis, Pietro Liò, Ivan Merelli, Francesca Cordero, Marco Beccuti
A computational framework for modeling and studying pertussis epidemiology and vaccination
2020-01-01 Castagno P.; Pernice S.; Ghetti G.; Povero M.; Pradelli L.; Paolotti D.; Balbo G.; Sereno M.; Beccuti M.
Docker4Circ: A Framework for the Reproducible Characterization of circRNAs from RNA-Seq Data
2020-01-01 Ferrero, Giulio; Licheri, Nicola; Coscujuela Tarrero, Lucia; De Intinis, Carlo; Miano, Valentina; Calogero, Raffaele Adolfo; Cordero, Francesca; De Bortoli, Michele; Beccuti, Marco
Computational modeling of the immune response in multiple sclerosis using epimod framework
2020-01-01 Pernice S.; Follia L.; Maglione A.; Pennisi M.; Pappalardo F.; Novelli F.; Clerico M.; Beccuti M.; Cordero F.; Rolla S.
Integrative Analysis of Novel Metabolic Subtypes in Pancreatic Cancer Fosters New Prognostic Biomarkers
2019-01-01 Follia, Laura; Ferrero, Giulio; Mandili, Giorgia; Beccuti, Marco; Giordano, Daniele; Spadi, Rosella; Satolli, Maria Antonietta; Evangelista, Andrea; Katayama, Hiroyuki; Hong, Wang; Momin, Amin A.; Capello, Michela; Hanash, Samir M.; Novelli, Francesco; Cordero, Francesca
rCASC: reproducible classification analysis of single-cell sequencing data
2019-01-01 Alessandrì, Luca; Cordero, Francesca; Beccuti, Marco; Arigoni, Maddalena; Olivero, Martina; Romano, Greta; Rabellino, Sergio; Licheri, Nicola; De Libero, Gennaro; Pace, Luigia; Calogero, Raffaele A
A Tool for the Automatic Derivation of Symbolic ODE from Symmetric Net Models
2019-01-01 Marco Beccuti, Lorenzo Capra, Massimiliano De Pierro, Giuliana Franceschinis, Laura Follia, Simone Pernice
A computational approach based on the colored Petri net formalism for studying multiple sclerosis
2019-01-01 Pernice S.; Pennisi M.; Romano G.; Maglione A.; Cutrupi S.; Pappalardo F.; Balbo G.; Beccuti M.; Cordero F.; Calogero R.A.
Exploiting Stochastic Petri Net formalism to capture the Relapsing Remitting Multiple Sclerosis variability under Daclizumab administration
2019-01-01 Pernice S.; Romano G.; Russo G.; Beccuti M.; Pennisi M.; Pappalardo F.
GPU accelerated analysis of treg-teff cross regulation in relapsing-remitting multiple sclerosis
2019-01-01 Beccuti M.; Cazzaniga P.; Pennisi M.; Besozzi D.; Nobile M.S.; Pernice S.; Russo G.; Tangherloni A.; Pappalardo F.
Deriving Symbolic Ordinary Differential Equations from Stochastic Symmetric Nets Without Unfolding
2018-01-01 Marco Beccuti, Lorenzo Capra, Massimiliano De Pierro, Giuliana Franceschinis, Simone Pernice
An integrative transcriptomic analysis of glycolytic genes reveals distinct metabolic subtypes in pancreatic cancer
2018-01-01 Laura Follia, Giulio Ferrero, Giorgia Mandili, Marco Beccuti, Hiroyuki Katayama, Hong Wang, Amin A. Momin, Michela Capello, Samir M. Hanash, Francesco Novelli, Francesca Cordero
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| GRAPES-DD: exploiting decision diagrams for index-driven search in biological graph databases | 2021 | Nicola Licheri, Vincenzo Bonnici, Marco Beccuti, Rosalba Giugno | |
| MET Exon 14 Skipping: A Case Study for the Detection of Genetic Variants in Cancer Driver Genes by Deep Learning | 2021 | Nosi, Vladimir; Luca, Alessandrì; Milan, Melissa; Arigoni, Maddalena; Benvenuti, Silvia; Cacchiarelli, Davide; Cesana, Marcella; Riccardo, Sara; Di Filippo, Lucio; Cordero, Francesca; Beccuti, Marco; Comoglio, Paolo M.; Calogero, Raffaele A. | |
| Sparsely connected autoencoders: A multi‐purpose tool for single cell omics analysis | 2021 | Alessandri L.; Ratto M.L.; Contaldo S.G.; Beccuti M.; Cordero F.; Arigoni M.; Calogero R.A. | |
| Application of the Euro Clonality next-generation sequencing-based marker screening approach to detect immunoglobulin heavy chain rearrangements in mantle cell lymphoma patients: first data from the Fondazione Italiana Linfomi MCL0208 trial | 2021 | Genuardi, Elisa; Romano, Greta; Beccuti, Marco; Alessandria, Beatrice; Mannina, Donato; Califano, Catello; Rota Scalabrini, Delia; Cortelazzo, Sergio; Ladetto, Marco; Ferrero, Simone; Calogero, Raffaele A; Cordero, Francesca | |
| A Petri net formalism to study systems at different scales exploiting agent-based and stochastic simulations. | 2021 | Beccuti, M., Castagno, P., Franceschinis, G., Pennisi, M., Pernice, S. | |
| Multiple sclerosis disease: A computational approach for investigating its drug interactions | 2020 | Pernice S.; Beccuti M.; Romano G.; Pennisi M.; Maglione A.; Cutrupi S.; Pappalardo F.; Capra L.; Franceschinis G.; De Pierro M.; Balbo G.; Cordero F.; Calogero R. | |
| Impacts of reopening strategies for COVID-19 epidemic: a modeling study in Piedmont region | 2020 | Pernice S.; Castagno P.; Marcotulli L.; Maule M.M.; Richiardi L.; Moirano G.; Sereno M.; Cordero F.; Beccuti M. | |
| Efficient and Settings-Free Calibration of Detailed Kinetic Metabolic Models with Enzyme Isoforms Characterization | 2020 | Totis N.; Tangherloni A.; Beccuti M.; Cazzaniga P.; Nobile M.S.; Besozzi D.; Pennisi M.; Pappalardo F. | |
| Integrating Petri Nets and Flux Balance Methods in Computational Biology Models: a Methodological and Computational Practice | 2020 | Simone Pernice, Laura Follia, Gianfranco Balbo, Luciano Milanesi, Giulia Sartini, Niccolò Totis, Pietro Liò, Ivan Merelli, Francesca Cordero, Marco Beccuti | |
| A computational framework for modeling and studying pertussis epidemiology and vaccination | 2020 | Castagno P.; Pernice S.; Ghetti G.; Povero M.; Pradelli L.; Paolotti D.; Balbo G.; Sereno M.; Beccuti M. | |
| Docker4Circ: A Framework for the Reproducible Characterization of circRNAs from RNA-Seq Data | 2020 | Ferrero, Giulio; Licheri, Nicola; Coscujuela Tarrero, Lucia; De Intinis, Carlo; Miano, Valentina; Calogero, Raffaele Adolfo; Cordero, Francesca; De Bortoli, Michele; Beccuti, Marco | |
| Computational modeling of the immune response in multiple sclerosis using epimod framework | 2020 | Pernice S.; Follia L.; Maglione A.; Pennisi M.; Pappalardo F.; Novelli F.; Clerico M.; Beccuti M.; Cordero F.; Rolla S. | |
| Integrative Analysis of Novel Metabolic Subtypes in Pancreatic Cancer Fosters New Prognostic Biomarkers | 2019 | Follia, Laura; Ferrero, Giulio; Mandili, Giorgia; Beccuti, Marco; Giordano, Daniele; Spadi, Rosella; Satolli, Maria Antonietta; Evangelista, Andrea; Katayama, Hiroyuki; Hong, Wang; Momin, Amin A.; Capello, Michela; Hanash, Samir M.; Novelli, Francesco; Cordero, Francesca | |
| rCASC: reproducible classification analysis of single-cell sequencing data | 2019 | Alessandrì, Luca; Cordero, Francesca; Beccuti, Marco; Arigoni, Maddalena; Olivero, Martina; Romano, Greta; Rabellino, Sergio; Licheri, Nicola; De Libero, Gennaro; Pace, Luigia; Calogero, Raffaele A | |
| A Tool for the Automatic Derivation of Symbolic ODE from Symmetric Net Models | 2019 | Marco Beccuti, Lorenzo Capra, Massimiliano De Pierro, Giuliana Franceschinis, Laura Follia, Simone Pernice | |
| A computational approach based on the colored Petri net formalism for studying multiple sclerosis | 2019 | Pernice S.; Pennisi M.; Romano G.; Maglione A.; Cutrupi S.; Pappalardo F.; Balbo G.; Beccuti M.; Cordero F.; Calogero R.A. | |
| Exploiting Stochastic Petri Net formalism to capture the Relapsing Remitting Multiple Sclerosis variability under Daclizumab administration | 2019 | Pernice S.; Romano G.; Russo G.; Beccuti M.; Pennisi M.; Pappalardo F. | |
| GPU accelerated analysis of treg-teff cross regulation in relapsing-remitting multiple sclerosis | 2019 | Beccuti M.; Cazzaniga P.; Pennisi M.; Besozzi D.; Nobile M.S.; Pernice S.; Russo G.; Tangherloni A.; Pappalardo F. | |
| Deriving Symbolic Ordinary Differential Equations from Stochastic Symmetric Nets Without Unfolding | 2018 | Marco Beccuti, Lorenzo Capra, Massimiliano De Pierro, Giuliana Franceschinis, Simone Pernice | |
| An integrative transcriptomic analysis of glycolytic genes reveals distinct metabolic subtypes in pancreatic cancer | 2018 | Laura Follia, Giulio Ferrero, Giorgia Mandili, Marco Beccuti, Hiroyuki Katayama, Hong Wang, Amin A. Momin, Michela Capello, Samir M. Hanash, Francesco Novelli, Francesca Cordero |
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