| A large-scale evaluation of computational protein function prediction P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ... Nature methods 10 (3), 221-227, 2013 | 1256 | 2013 |
| A community effort to assess and improve drug sensitivity prediction algorithms JC Costello, LM Heiser, E Georgii, M Gönen, MP Menden, NJ Wang, ... Nature biotechnology 32 (12), 1202-1212, 2014 | 875 | 2014 |
| Critical assessment of automated flow cytometry data analysis techniques N Aghaeepour, G Finak, FlowCAP Consortium, Dream Consortium, ... Nature methods 10 (3), 228-238, 2013 | 720 | 2013 |
| Global genomic and transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism J Fadista, P Vikman, EO Laakso, IG Mollet, JL Esguerra, J Taneera, ... Proceedings of the National Academy of Sciences 111 (38), 13924-13929, 2014 | 531 | 2014 |
| Measuring differential gene expression with RNA-seq: challenges and strategies for data analysis F Finotello, B Di Camillo Briefings in functional genomics 14 (2), 130-142, 2015 | 363 | 2015 |
| Simulation-based comprehensive benchmarking of RNA-seq aligners G Baruzzo, KE Hayer, EJ Kim, B Di Camillo, GA FitzGerald, GR Grant Nature methods 14 (2), 135-139, 2017 | 354 | 2017 |
| Inferring causal molecular networks: empirical assessment through a community-based effort SM Hill, LM Heiser, T Cokelaer, M Unger, NK Nesser, DE Carlin, Y Zhang, ... Nature methods 13 (4), 310-318, 2016 | 284 | 2016 |
| A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models E Longato, M Vettoretti, B Di Camillo Journal of biomedical informatics 108, 103496, 2020 | 259 | 2020 |
| Early origins of adult disease: low birth weight and vascular remodeling S Visentin, F Grumolato, GB Nardelli, B Di Camillo, E Grisan, E Cosmi Atherosclerosis 237 (2), 391-399, 2014 | 253 | 2014 |
| Use of a novel triple-tracer approach to assess postprandial glucose metabolism R Basu, B Di Camillo, G Toffolo, A Basu, P Shah, A Vella, R Rizza, ... American Journal of Physiology-Endocrinology And Metabolism 284 (1), E55-E69, 2003 | 239 | 2003 |
| Measuring the diversity of the human microbiota with targeted next-generation sequencing F Finotello, E Mastrorilli, B Di Camillo Briefings in bioinformatics 19 (4), 679-692, 2018 | 208 | 2018 |
| Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms M Falda, S Toppo, A Pescarolo, E Lavezzo, B Di Camillo, A Facchinetti, ... BMC bioinformatics 13 (Suppl 4), S14, 2012 | 163 | 2012 |
| The genetic landscape of renal complications in type 1 diabetes N Sandholm, N Van Zuydam, E Ahlqvist, T Juliusdottir, HA Deshmukh, ... Journal of the American Society of Nephrology 28 (2), 557-574, 2017 | 152 | 2017 |
| Mycobacterium tuberculosis-induced miR-155 subverts autophagy by targeting ATG3 in human dendritic cells MP Etna, A Sinigaglia, A Grassi, E Giacomini, A Romagnoli, M Pardini, ... PLoS pathogens 14 (1), e1006790, 2018 | 147 | 2018 |
| Single-cell RNA-sequencing: assessment of differential expression analysis methods A Dal Molin, G Baruzzo, B Di Camillo Frontiers in genetics 8, 62, 2017 | 123 | 2017 |
| bnstruct: an R package for Bayesian Network structure learning in the presence of missing data A Franzin, F Sambo, B Di Camillo Bioinformatics 33 (8), 1250-1252, 2017 | 122 | 2017 |
| How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives A Dal Molin, B Di Camillo Briefings in bioinformatics 20 (4), 1384-1394, 2019 | 118 | 2019 |
| Exposure to dipeptidyl‐peptidase‐4 inhibitors and COVID‐19 among people with type 2 diabetes: a case‐control study GP Fadini, ML Morieri, E Longato, BM Bonora, S Pinelli, E Selmin, ... Diabetes, Obesity and Metabolism 22 (10), 1946-1950, 2020 | 115 | 2020 |
| Optimizing PCR primers targeting the bacterial 16S ribosomal RNA gene F Sambo, F Finotello, E Lavezzo, G Baruzzo, G Masi, E Peta, M Falda, ... BMC bioinformatics 19 (1), 343, 2018 | 96 | 2018 |
| Cardiovascular outcomes of type 2 diabetic patients treated with SGLT-2 inhibitors versus GLP-1 receptor agonists in real-life E Longato, B Di Camillo, G Sparacino, L Gubian, A Avogaro, GP Fadini BMJ open diabetes research & care 8 (1), 2020 | 86 | 2020 |