| Fuzzy Self-Tuning PSO: A Settings-Free Algorithm for Global Optimization Autori MS Nobile, P Cazzaniga, D Besozzi, R Colombo, G Mauri, G Pasi Swarm and Evolutionary Computation, 2017 | 44* | 2017 |
| Computational strategies for a system-level understanding of metabolism P Cazzaniga, C Damiani, D Besozzi, R Colombo, MS Nobile, D Gaglio, ... Metabolites 4 (4), 1034-1087, 2014 | 38 | 2014 |
| Proactive particles in swarm optimization: a self-tuning algorithm based on fuzzy logic MS Nobile, G Pasi, P Cazzaniga, D Besozzi, R Colombo, G Mauri 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2015 | 23 | 2015 |
| 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 | 19 | 2016 |
| An ensemble evolutionary constraint-based approach to understand the emergence of metabolic phenotypes C Damiani, D Pescini, R Colombo, S Molinari, L Alberghina, M Vanoni, ... Natural Computing 13 (3), 321-331, 2014 | 16 | 2014 |
| A metabolic core model elucidates how enhanced utilization of glucose and glutamine, with enhanced glutamine-dependent lactate production, promotes cancer cell growth: The … C Damiani, R Colombo, D Gaglio, F Mastroianni, D Pescini, ... PLOS Computational Biology 13 (9), e1005758, 2017 | 15 | 2017 |
| 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 | 8 | 2017 |
| In vivo and in silico analysis of PCNA ubiquitylation in the activation of the Post Replication Repair pathway in S. cerevisiae F Amara, R Colombo, P Cazzaniga, D Pescini, A Csikász-Nagy, ... BMC systems biology 7 (1), 24, 2013 | 6 | 2013 |
| Constraint-based modeling and simulation of cell populations M Di Filippo, C Damiani, R Colombo, D Pescini, G Mauri Italian Workshop on Artificial Life and Evolutionary Computation, 126-137, 2016 | 4 | 2016 |
| 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 | 3 | 2019 |
| COSYS: A Computational Infrastructure for Systems Biology F Cumbo, MS Nobile, C Damiani, R Colombo, G Mauri, P Cazzaniga Computational Intelligence Methods for Bioinformatics and Biostatistics …, 2017 | 3 | 2017 |
| 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 Italian Workshop on Artificial Life and Evolutionary Computation, 138-148, 2016 | 3 | 2016 |
| SupraBiology 2014: Promoting UK-China collaboration on Systems Biology and High Performance Computing E Murabito, R Colombo, C Wu, M Verma, S Rehman, J Snoep, SL Peng, ... Quantitative Biology, 1-8, 2015 | 3 | 2015 |
| -Omics and Clinical Data Integration G De Sanctis, R Colombo, C Damiani, E Sacco, M Vanoni Integration of Omics Approaches and Systems Biology for Clinical …, 2018 | 2 | 2018 |
| Constraining Mechanism Based Simulations to Identify Ensembles of Parametrizations to Characterize Metabolic Features R Colombo, C Damiani, G Mauri, D Pescini Computational Intelligence Methods for Bioinformatics and Biostatistics …, 2017 | 2 | 2017 |
| 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 | 1 | 2018 |
| GPU-powered sensitivity analysis and parameter estimation of a reaction-based model of the Post Replication Repair pathway in yeast P Cazzaniga, R Colombo, MS Nobile, D Pescini, G Mauri, D Besozzi WCSB 2013-tHE 10th International Workshop on Computational Systems Biology …, 2013 | 1 | 2013 |
| 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 | | 2020 |
| Emerging ensembles of kinetic parameters to characterize observed metabolic phenotypes R Colombo, C Damiani, D Gilbert, M Heiner, G Mauri, D Pescini BMC Bioinformatics 19 (7), 251, 2018 | | 2018 |
| Emerging ensembles of kinetic parameters to identify experimentally observed phenotypes R Colombo, C Damiani, D Gilbert, M Heiner, G Mauri, D Pescini BioMed Central, 2018 | | 2018 |
Giancarlo MauriProfessor of Computer Science - University of Milano-BicoccaEmail verificata su disco.unimib.it
