| 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 | 84 | 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 | 70 | 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 | 50 | 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 | 31 | 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 | 27 | 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 | 26 | 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 | 25 | 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 | 23 | 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 | 19 | 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 | 19 | 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 | 16 | 2022 |
| 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 | 14 | 2022 |
| 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 | 13 | 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, ... | 13 | 2020 |
| Longitudinal cancer evolution from single cells D Ramazzotti, F Angaroni, D Maspero, G Ascolani, I Castiglioni, R Piazza, ... bioRxiv, 2020.01. 14.906453, 2020 | 11 | 2020 |
| 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 | 11 | 1999 |
| 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 for …, 2018 | 10 | 2018 |
| 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 | 9 | 2020 |
| FBCA, A Multiscale Modeling Framework Combining Cellular Automata and Flux Balance Analysis. A Graudenzi, D Maspero, C Damiani Journal of Cellular Automata 15, 2020 | 7 | 2020 |
| 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 | 6 | 2021 |
Alex GraudenziDept. of Informatics, Systems and Communication, Univ. of Milan-Bicocca在 unimib.it 的电子邮件经过验证
