GALUZZI, BRUNO GIOVANNI
GALUZZI, BRUNO GIOVANNI
Istituto di Bioimmagini e Sistemi Biologici Complessi (IBSBC)
Classification methods based on κ-logistic models
2026 Baldi, M. M.; Galuzzi, B. G.; Messina, E.; Kaniadakis, G.
Exposome, oxidative stress and inflammation in persons with multiple sclerosis: the EXPOSITION study protocol
2025 Monti, M. C.; De Giuseppe, R.; Bertoli, G.; Alemayohu, M. A.; Al-Naqeb, G.; Ballante, E.; Bergamaschi, R.; Camboni, T.; Ceccarani, C.; Ceriani, C.; Colombo, E.; Consolandi, C.; Costabile, F.; Decesari, S.; Gallivanone, F.; Galuzzi, B. G.; Gastaldi, M.; Gervasoni, C.; Gugiatti, S.; Itri, T.; Kalmpourtzidou, A.; Landi, T. C.; Lanzotti, A.; Dico, A. L.; Loperfido, F.; Maccarini, B.; Mazza, A.; Montomoli, C.; Oddone, E.; Paulin, N.; Pellizzer, C.; Pernetti, R.; Scarabotto, A.; Sellaro, F.; Severgnini, M.; Summa, D.; Vivone, G.; Porro, D.; Cena, H.; Tavazzi, E.
Predicting Metalloprotein Redox Potentials with Machine Learning: A Focus on Iron–Sulfur Systems
2025 Persico, Francesca; Galuzzi, Bruno G.; Pellegrino, Miriana; Claudel, Anne-Lise; De Gioia, Luca; Nastri, Flavia; Gilardi, Gianfranco; Damiani, Chiara; Valetti, Francesca; Chino, Marco; Arrigoni, Federica
Adjusting for false discoveries in constraint-based differential metabolic flux analysis
2024 Galuzzi, Bruno G.; Milazzo, Luca; Damiani, Chiara
Chronic Gastrointestinal Disorders and miRNA-Associated Disease: An Up-to-Date
2024 Giammona, A.; Galuzzi, B. G.; Imperia, E.; Gervasoni, C.; Remedia, S.; Restaneo, L.; Nespoli, M.; De Gara, L.; Tani, F.; Cicala, M.; Guarino, M. P. L.; Porro, D.; Cerasa, A.; Lo Dico, A.; Altomare, A.; Bertoli, G.
Neural networks unveiling the properties of gravitational wave background from supermassive black hole binaries
2024 Bonetti, M.; Franchini, A.; Galuzzi, B. G.; Sesana, A.
scFBApy: A Python Framework for Super-Network Flux Balance Analysis
2024 Galuzzi, Bg; Damiani, C
An Efficient Implementation of Flux Variability Analysis for Metabolic Networks
2023 Galuzzi, Bg; Damiani, C
Best Practices in Flux Sampling of Constrained-Based Models
2023 Galuzzi, B. G.; Milazzo, L.; Damiani, C.
Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity
2023 Galuzzi, Bg; Izzo, S; Giampaolo, F; Cuomo, S; Vanoni, Me; Alberghina, L; Damiani, C; Piccialli, F
Combining denoising of RNA-seq data and flux balance analysis for cluster analysis of single cells
2022 Galuzzi, Bruno G.; Vanoni, Marco; Damiani, Chiara
INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation
2022 Di Filippo M.; Pescini D.; Galuzzi B.G.; Bonanomi M.; Gaglio D.; Mangano E.; Consolandi C.; Alberghina L.; Vanoni M.; Damiani C.
Machine Learning for Efficient Prediction of Protein Redox Potential: The Flavoproteins Case
2022 Galuzzi, Bruno Giovanni; Mirarchi, Antonio; Viganò, Edoardo Luca; De Gioia, Luca; Damiani, Chiara; Arrigoni, Federica
Seismic coupling for the Aegean - Anatolian region
2022 Sparacino, F.; Galuzzi, B. G.; Palano, M.; Segou, M.; Chiarabba, C.
OCTIS: Comparing and optimizing topic models is simple!
2021 Terragni, S; Fersini, E; Galuzzi, B; Tropeano, P; Candelieri, A
Hyperparameter optimization for recommender systems through Bayesian optimization
2020 Galuzzi, B. G.; Giordani, I.; Candelieri, A.; Perego, R.; Archetti, F.
Vulnerability of public transportation networks against directed attacks and cascading failures
2019 Candelieri, A; Galuzzi, Bg; Giordani, I; Archetti, F
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Classification methods based on κ-logistic models | 1-gen-2026 | Baldi, M. M.; Galuzzi, B. G.; Messina, E.; Kaniadakis, G. | |
| Exposome, oxidative stress and inflammation in persons with multiple sclerosis: the EXPOSITION study protocol | 1-gen-2025 | Monti, M. C.; De Giuseppe, R.; Bertoli, G.; Alemayohu, M. A.; Al-Naqeb, G.; Ballante, E.; Bergamaschi, R.; Camboni, T.; Ceccarani, C.; Ceriani, C.; Colombo, E.; Consolandi, C.; Costabile, F.; Decesari, S.; Gallivanone, F.; Galuzzi, B. G.; Gastaldi, M.; Gervasoni, C.; Gugiatti, S.; Itri, T.; Kalmpourtzidou, A.; Landi, T. C.; Lanzotti, A.; Dico, A. L.; Loperfido, F.; Maccarini, B.; Mazza, A.; Montomoli, C.; Oddone, E.; Paulin, N.; Pellizzer, C.; Pernetti, R.; Scarabotto, A.; Sellaro, F.; Severgnini, M.; Summa, D.; Vivone, G.; Porro, D.; Cena, H.; Tavazzi, E. | |
| Predicting Metalloprotein Redox Potentials with Machine Learning: A Focus on Iron–Sulfur Systems | 1-gen-2025 | Persico, Francesca; Galuzzi, Bruno G.; Pellegrino, Miriana; Claudel, Anne-Lise; De Gioia, Luca; Nastri, Flavia; Gilardi, Gianfranco; Damiani, Chiara; Valetti, Francesca; Chino, Marco; Arrigoni, Federica | |
| Adjusting for false discoveries in constraint-based differential metabolic flux analysis | 1-gen-2024 | Galuzzi, Bruno G.; Milazzo, Luca; Damiani, Chiara | |
| Chronic Gastrointestinal Disorders and miRNA-Associated Disease: An Up-to-Date | 1-gen-2024 | Giammona, A.; Galuzzi, B. G.; Imperia, E.; Gervasoni, C.; Remedia, S.; Restaneo, L.; Nespoli, M.; De Gara, L.; Tani, F.; Cicala, M.; Guarino, M. P. L.; Porro, D.; Cerasa, A.; Lo Dico, A.; Altomare, A.; Bertoli, G. | |
| Neural networks unveiling the properties of gravitational wave background from supermassive black hole binaries | 1-gen-2024 | Bonetti, M.; Franchini, A.; Galuzzi, B. G.; Sesana, A. | |
| scFBApy: A Python Framework for Super-Network Flux Balance Analysis | 1-gen-2024 | Galuzzi, Bg; Damiani, C | |
| An Efficient Implementation of Flux Variability Analysis for Metabolic Networks | 1-gen-2023 | Galuzzi, Bg; Damiani, C | |
| Best Practices in Flux Sampling of Constrained-Based Models | 1-gen-2023 | Galuzzi, B. G.; Milazzo, L.; Damiani, C. | |
| Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity | 1-gen-2023 | Galuzzi, Bg; Izzo, S; Giampaolo, F; Cuomo, S; Vanoni, Me; Alberghina, L; Damiani, C; Piccialli, F | |
| Combining denoising of RNA-seq data and flux balance analysis for cluster analysis of single cells | 1-gen-2022 | Galuzzi, Bruno G.; Vanoni, Marco; Damiani, Chiara | |
| INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation | 1-gen-2022 | Di Filippo M.; Pescini D.; Galuzzi B.G.; Bonanomi M.; Gaglio D.; Mangano E.; Consolandi C.; Alberghina L.; Vanoni M.; Damiani C. | |
| Machine Learning for Efficient Prediction of Protein Redox Potential: The Flavoproteins Case | 1-gen-2022 | Galuzzi, Bruno Giovanni; Mirarchi, Antonio; Viganò, Edoardo Luca; De Gioia, Luca; Damiani, Chiara; Arrigoni, Federica | |
| Seismic coupling for the Aegean - Anatolian region | 1-gen-2022 | Sparacino, F.; Galuzzi, B. G.; Palano, M.; Segou, M.; Chiarabba, C. | |
| OCTIS: Comparing and optimizing topic models is simple! | 1-gen-2021 | Terragni, S; Fersini, E; Galuzzi, B; Tropeano, P; Candelieri, A | |
| Hyperparameter optimization for recommender systems through Bayesian optimization | 1-gen-2020 | Galuzzi, B. G.; Giordani, I.; Candelieri, A.; Perego, R.; Archetti, F. | |
| Vulnerability of public transportation networks against directed attacks and cascading failures | 1-gen-2019 | Candelieri, A; Galuzzi, Bg; Giordani, I; Archetti, F |