Davide Maspero
Davide Maspero
Single Cell Genomics Team - Centre Nacional d’AnÓlisi Gen˛mica (CNAG-CRG), Barcelona, Spain
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Cited by
Cited by
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
Mutational signatures and heterogeneous host response revealed via large-scale characterization of SARS-CoV-2 genomic diversity
A Graudenzi, D Maspero, F Angaroni, R Piazza, D Ramazzotti
Iscience 24 (2), 2021
A review of computational strategies for denoising and imputation of single-cell transcriptomic data
L Patruno, D Maspero, F Craighero, F Angaroni, M Antoniotti, A Graudenzi
Briefings in bioinformatics 22 (4), bbaa222, 2021
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
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
VERSO: a comprehensive framework for the inference of robust phylogenies and the quantification of intra-host genomic diversity of viral samples
D Ramazzotti, F Angaroni, D Maspero, C Gambacorti-Passerini, ...
Patterns 2 (3), 2021
Cigarette smoke alters the transcriptome of non-involved lung tissue in lung adenocarcinoma patients
G Pintarelli, S Noci, D Maspero, A Pettinicchio, M Dugo, L De Cecco, ...
Scientific reports 9 (1), 13039, 2019
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
Large-scale analysis of SARS-CoV-2 synonymous mutations reveals the adaptation to the human codon usage during the virus evolution
D Ramazzotti, F Angaroni, D Maspero, M Mauri, D D’Aliberti, D Fontana, ...
Virus evolution 8 (1), veac026, 2022
An optimal control framework for the automated design of personalized cancer treatments
F Angaroni, A Graudenzi, M Rossignolo, D Maspero, T Calarco, R Piazza, ...
Frontiers in Bioengineering and Biotechnology 8, 523, 2020
LACE: Inference of cancer evolution models from longitudinal single-cell sequencing data
D Ramazzotti, F Angaroni, D Maspero, G Ascolani, I Castiglioni, R Piazza, ...
Journal of Computational Science 58, 101523, 2022
Characterization of intra-host SARS-CoV-2 variants improves phylogenomic reconstruction and may reveal functionally convergent mutations
D Ramazzotti, F Angaroni, D Maspero, C Gambacorti-Passerini, ...
Chemotherapy after PD‐1 inhibitors in relapsed/refractory Hodgkin lymphoma: Outcomes and clonal evolution dynamics
E Calabretta, A Guidetti, F Ricci, M Di Trani, C Monfrini, M Magagnoli, ...
British Journal of Haematology 198 (1), 82-92, 2022
La previsione nei mercati finanziari. Trading system, modelli econometrici e reti neurali
G Gabbi, L Galati, G Tagliavini, R Colombo, MP Viola, A Tumietto, ...
Bancaria Editrice, 1999
Variant calling from scRNA-seq data allows the assessment of cellular identity in patient-derived cell lines
D Ramazzotti, F Angaroni, D Maspero, G Ascolani, I Castiglioni, R Piazza, ...
Nature communications 13 (1), 2718, 2022
Longitudinal cancer evolution from single cells
D Ramazzotti, F Angaroni, D Maspero, G Ascolani, I Castiglioni, R Piazza, ...
bioRxiv, 2020.01. 14.906453, 2020
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
Modeling spatio-temporal dynamics of metabolic networks with cellular automata and constraint-based methods
A Graudenzi, D Maspero, C Damiani
Cellular Automata: 13th International Conference on Cellular Automata forá…, 2018
Combining multi-target regression deep neural networks and kinetic modeling to predict relative fluxes in reaction systems
L Patruno, F Craighero, D Maspero, A Graudenzi, C Damiani
Information and Computation 281, 104798, 2021
FBCA, A Multiscale Modeling Framework Combining Cellular Automata and Flux Balance Analysis.
A Graudenzi, D Maspero, C Damiani
Journal of Cellular Automata 15, 2020
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