Francesco Sambo
Francesco Sambo
Verizon Connect Research, Florence, Italy
Verified email at
Cited by
Cited by
A community effort to assess and improve drug sensitivity prediction algorithms
JC Costello, LM Heiser, E Georgii, M G÷nen, MP Menden, NJ Wang, ...
Nature biotechnology 32 (12), 1202-1212, 2014
Critical assessment of automated flow cytometry data analysis techniques
N Aghaeepour, G Finak, The FlowCAP Consortium, ...
Nature Methods 10 (3), 228-238, 2013
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
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
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
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
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
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
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, 1-10, 2018
Bag of Na´ve 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
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
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
Subjective networks: Perspectives and challenges
M Ivanovska, A J°sang, L Kaplan, F Sambo
Graph Structures for Knowledge Representation and Reasoning: 4thá…, 2015
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
Classification of Crash and Near-Crash Events from Dashcam Videos and Telematics
L Taccari, F Sambo, L Bravi, S Salti, L Sarti, M Simoncini, A Lori
2018 21st International Conference on Intelligent Transportation Systemsá…, 2018
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. 2á…, 2008
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 (BHIá…, 2014
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, 1611-1622, 2014
HAPT2D: high accuracy of prediction of T2D with a model combining basic and advanced data depending on availability
B Di Camillo, L Hakaste, F Sambo, R Gabriel, J Kravic, B Isomaa, ...
European journal of endocrinology 178 (4), 331-341, 2018
ATS-PD: An adaptive testing system for psychological disorders
I Donadello, A Spoto, F Sambo, S Badaloni, U Granziol, G Vidotto
Educational and psychological measurement 77 (5), 792-815, 2017
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