| A promoter-level mammalian expression atlas Nature 507 (7493), 462-470, 2014 | 1765 | 2014 |
| The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models L Shi, G Campbell, WD Jones, F Campagne, Z Wen, SJ Walker, Z Su, ... Nature biotechnology 28 (8), 827-838, 2010 | 931 | 2010 |
| A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium TSMIII Consortium | 873* | 2014 |
| Recursive feature elimination with random forest for PTR-MS analysis of agroindustrial products PM Granitto, C Furlanello, F Biasioli, F Gasperi Chemometrics and intelligent laboratory systems 83 (2), 83-90, 2006 | 712 | 2006 |
| Gut microbiota profiling of pediatric nonalcoholic fatty liver disease and obese patients unveiled by an integrated meta‐omics‐based approach F Del Chierico, V Nobili, P Vernocchi, A Russo, C De Stefanis, D Gnani, ... Hepatology 65 (2), 451-464, 2017 | 662 | 2017 |
| Repeatability of published microarray gene expression analyses JPA Ioannidis, DB Allison, CA Ball, I Coulibaly, X Cui, AC Culhane, ... Nature genetics 41 (2), 149-155, 2009 | 662 | 2009 |
| The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance C Wang, B Gong, PR Bushel, J Thierry-Mieg, D Thierry-Mieg, J Xu, ... Nature biotechnology 32 (9), 926-932, 2014 | 557 | 2014 |
| A comparison of MCC and CEN error measures in multi-class prediction G Jurman, S Riccadonna, C Furlanello Public Library of Science 7 (8), e41882, 2012 | 441 | 2012 |
| Comparison of RNA-seq and microarray-based models for clinical endpoint prediction W Zhang, Y Yu, F Hertwig, J Thierry-Mieg, W Zhang, D Thierry-Mieg, ... Genome biology 16, 1-12, 2015 | 420 | 2015 |
| Reporting guidelines for human microbiome research: the STORMS checklist C Mirzayi, A Renson, Genomic Standards Consortium, ... Nature medicine 27 (11), 1885-1892, 2021 | 256 | 2021 |
| Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers D Albanese, M Filosi, R Visintainer, S Riccadonna, G Jurman, ... Bioinformatics 29 (3), 407-408, 2013 | 229 | 2013 |
| Predicting habitat suitability with machine learning models: The potential area of Pinus sylvestris L. in the Iberian Peninsula MB Garzon, R Blazek, M Neteler, RS Dios, HS Ollero, C Furlanello Ecological Modelling 197 (3), 383-393, 2006 | 227 | 2006 |
| Mitigation measures for pandemic influenza in Italy: an individual based model considering different scenarios ML Ciofi degli Atti, S Merler, C Rizzo, M Ajelli, M Massari, P Manfredi, ... PloS one 3 (3), e1790, 2008 | 215 | 2008 |
| Entropy-based gene ranking without selection bias for the predictive classification of microarray data C Furlanello, M Serafini, S Merler, G Jurman BMC bioinformatics 4, 1-20, 2003 | 187 | 2003 |
| Deep representation learning of electronic health records to unlock patient stratification at scale I Landi, BS Glicksberg, HC Lee, S Cherng, G Landi, M Danieletto, ... NPJ digital medicine 3 (1), 96, 2020 | 179 | 2020 |
| Differential roles of epigenetic changes and Foxp3 expression in regulatory T cell-specific transcriptional regulation H Morikawa, N Ohkura, A Vandenbon, M Itoh, S Nagao-Sato, H Kawaji, ... Proceedings of the National Academy of Sciences 111 (14), 5289-5294, 2014 | 148 | 2014 |
| Cardiac arrest and sudden death in competitive athletes with arrhythmogenic right ventricular dysplasia F Furlanello, A Bertoldi, M Dallago, C Furlanello, F Fernando, G Inama, ... Pacing and clinical electrophysiology 21 (1), 331-335, 1998 | 148 | 1998 |
| LPS-induced TNF-α factor mediates pro-inflammatory and pro-fibrogenic pattern in non-alcoholic fatty liver disease S Ceccarelli, N Panera, M Mina, D Gnani, C De Stefanis, A Crudele, ... Oncotarget 6 (39), 41434, 2015 | 147 | 2015 |
| Tumor-infiltrating T lymphocytes improve clinical outcome of therapy-resistant neuroblastoma M Mina, R Boldrini, A Citti, P Romania, V D'Alicandro, M De Ioris, ... Oncoimmunology 4 (9), e1019981, 2015 | 143 | 2015 |
| Canberra distance on ranked lists G Jurman, S Riccadonna, R Visintainer, C Furlanello Proceedings of advances in ranking NIPS 09 workshop, 22-27, 2009 | 138 | 2009 |
Giuseppe JurmanFondazione Bruno Kessler, Trento, ItalyVerified email at fbk.eu
