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Marzia Di Filippo
Marzia Di Filippo
Verified email at unimib.it
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Cited by
Cited by
Year
Integration of single-cell RNA-seq data into population models to characterize cancer metabolism
C Damiani, D Maspero, M Di Filippo, R Colombo, D Pescini, A Graudenzi, ...
PLoS computational biology 15 (2), e1006733, 2019
782019
Zooming-in on cancer metabolic rewiring with tissue specific constraint-based models
M Di Filippo, R Colombo, C Damiani, D Pescini, D Gaglio, M Vanoni, ...
Computational biology and chemistry 62, 60-69, 2016
392016
popFBA: tackling intratumour heterogeneity with Flux Balance Analysis
C Damiani, M Di Filippo, D Pescini, D Maspero, R Colombo, G Mauri
Bioinformatics 33 (14), i311-i318, 2017
312017
Integration of transcriptomic data and metabolic networks in cancer samples reveals highly significant prognostic power
A Graudenzi, D Maspero, M Di Filippo, M Gnugnoli, C Isella, G Mauri, ...
Journal of biomedical informatics 87, 37-49, 2018
272018
INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation
M Di Filippo, D Pescini, BG Galuzzi, M Bonanomi, D Gaglio, E Mangano, ...
PLoS computational biology 18 (2), e1009337, 2022
262022
Single-cell digital twins for cancer preclinical investigation
MD Filippo, C Damiani, M Vanoni, D Maspero, G Mauri, L Alberghina, ...
Metabolic Flux Analysis in Eukaryotic Cells: Methods and Protocols, 331-343, 2020
222020
GPRuler: Metabolic gene-protein-reaction rules automatic reconstruction
M Di Filippo, C Damiani, D Pescini
PLoS computational biology 17 (11), e1009550, 2021
182021
MaREA4Galaxy: Metabolic reaction enrichment analysis and visualization of RNA-seq data within Galaxy
C Damiani, L Rovida, D Maspero, I Sala, L Rosato, M Di Filippo, D Pescini, ...
Computational and structural biotechnology journal 18, 993-999, 2020
102020
Linking alterations in metabolic fluxes with shifts in metabolite levels by means of kinetic modeling
C Damiani, R Colombo, M Di Filippo, D Pescini, G Mauri
Advances in Artificial Life, Evolutionary Computation, and Systems Chemistryá…, 2017
62017
Constraint-based modeling and simulation of cell populations
M Di Filippo, C Damiani, R Colombo, D Pescini, G Mauri
Advances in Artificial Life, Evolutionary Computation, and Systems Chemistryá…, 2017
52017
The influence of nutrients diffusion on a metabolism-driven model of a multi-cellular system
D Maspero, C Damiani, M Antoniotti, A Graudenzi, M Di Filippo, M Vanoni, ...
Fundamenta Informaticae 171 (1-4), 279-295, 2020
32020
Integration of single-cell rna-seq data into metabolic models to characterize tumour cell populations
C Damiani, D Maspero, M Di Filippo, R Colombo, D Pescini, A Graudenzi, ...
bioRxiv, 256644, 2018
32018
Integration of single-cell rna-sequencing data into flux balance cellular automata
D Maspero, M Di Filippo, F Angaroni, D Pescini, G Mauri, M Vanoni, ...
Computational Intelligence Methods for Bioinformatics and Biostatisticsá…, 2020
22020
Genome-scale metabolic reconstruction of the stress-tolerant hybrid yeast Zygosaccharomyces parabailii
MD Filippo, RA Ortiz-Merino, C Damiani, G Frascotti, D Porro, KH Wolfe, ...
bioRxiv, 373621, 2018
22018
A Mobile App Leveraging Citizenship Engagement to Perform Anonymized Longitudinal Studies in the Context of COVID-19 Adverse Drug Reaction Monitoring: Development and Usabilityá…
M Di Filippo, A Avellone, M Belingheri, ME Paladino, MA Riva, A Zambon, ...
JMIR Human Factors 9 (4), e38701, 2022
12022
MaREA: Metabolic feature extraction, enrichment and visualization of RNAseq data
A Graudenzi, D Maspero, C Isella, MD Filippo, G Mauri, E Medico, ...
bioRxiv, 248724, 2018
12018
Mobile app to perform anonymized longitudinal studies in the context of COVID-19 adverse drug reaction monitoring, leveraging the citizenship engagement.
M Di Filippo, A Avellone, M Belingheri, ME Paladino, MA Riva, A Zambon, ...
JMIR Human Factors, 2022
2022
NEW CONSTRAINT-BASED APPROACHES TO TACKLE THE MULTIPLE SIDES OF CELL METABOLIC PLASTICITY AND HETEROGENEITY
M Di Filippo
UniversitÓ degli Studi di Milano-Bicocca, 2019
2019
Metabolic enrichment through functional gene rules
D Maspero, C Isella, M Di Filippo, A Graudenzi, SE Bellomo, M Antoniotti, ...
arXiv preprint arXiv:1710.06017, 2017
2017
Applying data mining tools to infer species community structures from omics data
G Agostinetto, M Di Filippo, A Sandionigi, D Pescini, M Casiraghi
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Articles 1–20