Sfoglia per Autore
LACE 2.0: an interactive R tool for the inference and visualization of longitudinal cancer evolution
2023 Ascolani, G; Angaroni, F; Maspero, D; Craighero, F; Bhavesh, N; Piazza, R; Damiani, C; Ramazzotti, D; Antoniotti, M; Graudenzi, A
Coupling constrained-based flux sampling and clustering to tackle cancer metabolic heterogeneity
2023 Galuzzi, B; Izzo, S; Giampaolo, F; Cuomo, S; Vanoni, M; Alberghina, L; Damiani, C; Piccialli, F
INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation
2022 Di Filippo, M; Pescini, D; Galuzzi, B; Bonanomi, M; Gaglio, D; Mangano, E; Consolandi, C; Alberghina, L; Vanoni, M; Damiani, C
Combining denoising of RNA-seq data and flux balance analysis for cluster analysis of single cells
2022 Galuzzi, B; Vanoni, M; Damiani, C
Machine Learning for Efficient Prediction of Protein Redox Potential: The Flavoproteins Case
2022 Galuzzi, B; Mirarchi, A; Viganò, E; De Gioia, L; Damiani, C; Arrigoni, F
PMCE: efficient inference of expressive models of cancer evolution with high prognostic power
2022 Angaroni, F; Chen, K; Damiani, C; Caravagna, G; Graudenzi, A; Ramazzotti, D
Optimal Control of a Discrete Time Stochastic Model of an Epidemic Spreading in Arbitrary Networks
2021 Angaroni, F; Damiani, C; Ramunni, G; Antoniotti, M
Combining multi-target regression deep neural networks and kinetic modeling to predict relative fluxes in reaction systems
2021 Patruno, L; Craighero, F; Maspero, D; Graudenzi, A; Damiani, C
GPRuler: Metabolic gene-protein-reaction rules automatic reconstruction
2021 Di Filippo, M; Damiani, C; Pescini, D
Optimal control of a discrete time stochastic model of an epidemic spreading in arbitrary networks
2021 Angaroni, F; Damiani, C; Ramunni, G; Antoniotti, M
Accelerated global sensitivity analysis of genome-wide constraint-based metabolic models
2021 Nobile, M; Coelho, V; Pescini, D; Damiani, C
On the use of topological features of metabolic networks for the classification of cancer samples
2021 Machicao, J; Craighero, F; Maspero, D; Angaroni, F; Damiani, C; Graudenzi, A; Antoniotti, M; Bruno, O
Integration of single-cell RNA-sequencing data into flux balance cellular automata
2020 Maspero, D; Di Filippo, M; Angaroni, F; Pescini, D; Mauri, G; Vanoni, M; Graudenzi, A; Damiani, C
FBCA, A multiscale modeling framework combining cellular automata and flux balance analysis
2020 Graudenzi, A; Maspero, D; Damiani, C
MaREA4Galaxy: metabolic reaction enrichment analysis and visualization of RNA-seq data within Galaxy
2020 Damiani, C; Rovida, L; Maspero, D; Sala, I; Rosato, L; Di Filippo, M; Pescini, D; Graudenzi, A; Antoniotti, M; Mauri, G
Global Sensitivity Analysis of Constraint-Based Metabolic Models
2020 Damiani, C; Pescini, D; Nobile, M
Single-cell digital twins for cancer preclinical investigation
2020 Di Filippo, M; Damiani, C; Vanoni, M; Maspero, D; Mauri, G; Alberghina, L; Pescini, D
Systems metabolomics: from metabolomic snapshots to design principles
2020 Damiani, C; Gaglio, D; Sacco, E; Alberghina, L; Vanoni, M
Synchronization effects in a metabolism-driven model of multi-cellular system
2019 Maspero, D; Graudenzi, A; AMARPAL SINGH, A; Pescini, D; Mauri, G; Antoniotti, M; Damiani, C
The Influence of Nutrients Diffusion on a Metabolism-driven Model of a Multi-cellular System
2019 Maspero, D; Damiani, C; Antoniotti, M; Graudenzi, A; Di Filippo, M; Vanoni, M; Caravagna, G; Colombo, R; Ramazzotti, D; Pescini, D
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