| Critical assessment of automated flow cytometry data analysis techniques N Aghaeepour, G Finak, The FlowCAP Consortium, ... Nature Methods 10 (3), 228-238, 2013 | 462 | 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 | 439 | 2014 |
| A community computational challenge to predict the activity of pairs of compounds. M Bansal, J Yang, C Karan, MP Menden, JC Costello, H Tang, G Xiao, ... Nature Biotechnology 32 (12), 1213-1222, 2014 | 165 | 2014 |
| 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 | 161 | 2016 |
| 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 | 53 | 2017 |
| A Dynamic Bayesian Network model for long-term simulation of clinical complications in type 1 diabetes S Marini, E Trifoglio, N Barbarini, F Sambo, B Di Camillo, A Malovini, ... Journal of biomedical informatics 57, 369-376, 2015 | 30 | 2015 |
| Bag of Naïve Bayes: biomarker selection and classification from Genome-Wide SNP data F Sambo, E Trifoglio, B Di Camillo, G Toffolo, C Cobelli BMC Bioinformatics 13 (Suppl. 14), S2, 2012 | 30 | 2012 |
| Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment B Di Camillo, T Sanavia, M Martini, G Jurman, F Sambo, A Barla, ... PloS one 7 (3), e32200, 2012 | 27 | 2012 |
| Parsimonious description of glucose variability in type 2 diabetes by sparse principal component analysis C Fabris, A Facchinetti, G Fico, F Sambo, MT Arredondo, C Cobelli, ... Journal of diabetes science and technology 10 (1), 119-124, 2016 | 25 | 2016 |
| A coordinate-exchange two-phase local search algorithm for the D-and I-optimal designs of split-plot experiments F Sambo, M Borrotti, K Mylona Computational Statistics & Data Analysis 71, 1193-1207, 2014 | 25 | 2014 |
| 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 | 24 | 2017 |
| CNET: an algorithm for reverse engineering of causal gene networks F Sambo, B Di Camillo, G Toffolo NETTAB2008. Varenna, Italy. Systems Biology for Health Collection, vol. 2 …, 2008 | 20 | 2008 |
| Subjective networks: Perspectives and challenges M Ivanovska, A Jøsang, L Kaplan, F Sambo International Workshop on Graph Structures for Knowledge Representation and …, 2015 | 16 | 2015 |
| Vehicle classification from low-frequency GPS data with recurrent neural networks M Simoncini, L Taccari, F Sambo, L Bravi, S Salti, A Lori Transportation Research Part C: Emerging Technologies 91, 176-191, 2018 | 14 | 2018 |
| A data gathering framework to collect type 2 diabetes patients data A Dagliati, L Sacchi, M Bucalo, D Segagni, K Zarkogianni, AM Millana, ... IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI …, 2014 | 12 | 2014 |
| 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 | 11 | 2018 |
| Novel genetic susceptibility loci for diabetic end-stage renal disease identified through robust naive Bayes classification F Sambo, A Malovini, N Sandholm, M Stavarachi, C Forsblom, ... Diabetologia 57 (8), 1611-1622, 2014 | 11 | 2014 |
| A multi-objective coordinate-exchange two-phase local search algorithm for multi-stratum experiments M Borrotti, F Sambo, K Mylona, S Gilmour Statistics and Computing 27 (2), 469-481, 2017 | 10 | 2017 |
| A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes F Sambo, B Di Camillo, A Franzin, A Facchinetti, L Hakaste, J Kravic, ... 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 10 | 2015 |
| MORE: Mixed Optimization for Reverse Engineering. An Application to Modeling Biological Networks Response via Sparse Systems of Nonlinear Differential Equations. F Sambo, MA Montes de Oca, B Di Camillo, G Toffolo, T Stützle IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (5 …, 2012 | 10 | 2012 |
Barbara Di CamilloUniversity of Padova, Information Engineering DepartmentVerified email at dei.unipd.it
