| Why a simple model of genetic regulatory networks describes the distribution of avalanches in gene expression data R Serra, M Villani, A Graudenzi, SA Kauffman Journal of theoretical biology 246 (3), 449-460, 2007 | 161 | 2007 |
| CAPRI: efficient inference of cancer progression models from cross-sectional data D Ramazzotti, G Caravagna, L Olde Loohuis, A Graudenzi, I Korsunsky, ... Bioinformatics 31 (18), 3016-3026, 2015 | 100 | 2015 |
| Algorithmic methods to infer the evolutionary trajectories in cancer progression G Caravagna, A Graudenzi, D Ramazzotti, R Sanz-Pamplona, L De Sano, ... Proceedings of the National Academy of Sciences 113 (28), E4025-E4034, 2016 | 93 | 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 | 81 | 2019 |
| Inferring tree causal models of cancer progression with probability raising LO Loohuis, G Caravagna, A Graudenzi, D Ramazzotti, G Mauri, ... PloS one 9 (10), e108358, 2014 | 73 | 2014 |
| 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 | 69 | 2021 |
| Dynamical properties of a Boolean model of gene regulatory network with memory A Graudenzi, R Serra, M Villani, C Damiani, A Colacci, SA Kauffman Journal of Computational Biology 18 (10), 1291-1303, 2011 | 69 | 2011 |
| A review of spatial computational models for multi-cellular systems, with regard to intestinal crypts and colorectal cancer development G De Matteis, A Graudenzi, M Antoniotti Journal of mathematical biology 66 (7), 1409-1462, 2013 | 62 | 2013 |
| SpidermiR: an R/bioconductor package for integrative analysis with miRNA data C Cava, A Colaprico, G Bertoli, A Graudenzi, TC Silva, C Olsen, ... International journal of molecular sciences 18 (2), 274, 2017 | 51 | 2017 |
| 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 |
| TRONCO: an R package for the inference of cancer progression models from heterogeneous genomic data L De Sano, G Caravagna, D Ramazzotti, A Graudenzi, G Mauri, B Mishra, ... Bioinformatics 32 (12), 1911-1913, 2016 | 47 | 2016 |
| A stochastic model of the emergence of autocatalytic cycles A Filisetti, A Graudenzi, R Serra, M Villani, D De Lucrezia, RM Füchslin, ... Journal of Systems Chemistry 2, 1-10, 2011 | 46 | 2011 |
| Robustness analysis of a Boolean model of gene regulatory network with memory A Graudenzi, R Serra, M Villani, A Colacci, SA Kauffman Journal of Computational Biology 18 (4), 559-577, 2011 | 40 | 2011 |
| Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data D Ramazzotti, A Graudenzi, L De Sano, M Antoniotti, G Caravagna BMC bioinformatics 20, 1-13, 2019 | 38 | 2019 |
| Yellow nails, lymphedema and pleural effusion: treatment of chronic pleural effusion with pleuroperitoneal shunting JD Brofman, JB Hall, W Scott, AG Little Chest 97 (3), 743-745, 1990 | 38 | 1990 |
| A stochastic model of autocatalytic reaction networks A Filisetti, A Graudenzi, R Serra, M Villani, RM Füchslin, N Packard, ... Theory in biosciences 131, 85-93, 2012 | 35 | 2012 |
| The diffusion of perturbations in a model of coupled random boolean networks R Serra, M Villani, C Damiani, A Graudenzi, A Colacci Cellular Automata: 8th International Conference on Cellular Aotomata for …, 2008 | 30 | 2008 |
| Growth and division in a dynamic protocell model M Villani, A Filisetti, A Graudenzi, C Damiani, T Carletti, R Serra Life 4 (4), 837-864, 2014 | 28 | 2014 |
| 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 |
Marco AntoniottiProfessor of Computer Science, Università degli Studi di Milano-Bicocca在 unimib.it 的电子邮件经过验证
