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Marzia Di Filippo
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2020 – today
- 2022
- [j7]Marzia Di Filippo
, Dario Pescini
INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation. PLoS Comput. Biol. 18(2) (2022) - 2021
- [j6]Marzia Di Filippo
GPRuler: Metabolic gene-protein-reaction rules automatic reconstruction. PLoS Comput. Biol. 17(11) (2021) - 2020
- [j5]Davide Maspero
The Influence of Nutrients Diffusion on a Metabolism-driven Model of a Multi-cellular System. Fundam. Informaticae 171(1-4): 279-295 (2020)
2010 – 2019
- 2019
- [b1]Marzia Di Filippo:
New constraint-based approaches to tackle the multiple sides of cell metabolic plasticity and heterogeneity. University of Milan, Italy, 2019 - [j4]Chiara Damiani
Integration of single-cell RNA-seq data into population models to characterize cancer metabolism. PLoS Comput. Biol. 15(2) (2019) - [c3]Davide Maspero, Marzia Di Filippo, Fabrizio Angaroni, Dario Pescini
Integration of Single-Cell RNA-Sequencing Data into Flux Balance Cellular Automata. CIBB 2019: 207-215 - 2018
- [j3]Alex Graudenzi
Integration of transcriptomic data and metabolic networks in cancer samples reveals highly significant prognostic power. J. Biomed. Informatics 87: 37-49 (2018) - 2017
- [j2]Chiara Damiani
popFBA: tackling intratumour heterogeneity with Flux Balance Analysis. Bioinform. 33(14): i311-i318 (2017) - 2016
- [j1]Marzia Di Filippo, Riccardo Colombo
Zooming-in on cancer metabolic rewiring with tissue specific constraint-based models. Comput. Biol. Chem. 62: 60-69 (2016) - [c2]Marzia Di Filippo, Chiara Damiani
Constraint-Based Modeling and Simulation of Cell Populations. WIVACE 2016: 126-137 - [c1]Chiara Damiani
Linking Alterations in Metabolic Fluxes with Shifts in Metabolite Levels by Means of Kinetic Modeling. WIVACE 2016: 138-148
Coauthor Index
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