Cesare Furlanello
Cesare Furlanello
HK3 Lab (Rovereto/Milano, Italy)
Verified email at hk3lab.ai
Cited by
Cited by
A promoter-level mammalian expression atlas
Fantom Consortium
Nature 507 (7493), 462, 2014
The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
MaQC Consortium
Nature biotechnology 28 (8), 827, 2010
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
TSMIII Consortium
Repeatability of published microarray gene expression analyses
JPA Ioannidis, DB Allison, CA Ball, I Coulibaly, X Cui, AC Culhane, ...
Nature genetics 41 (2), 149, 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
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
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
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), 1-12, 2015
A comparison of MCC and CEN error measures in multi-class prediction
G Jurman, S Riccadonna, C Furlanello
PloS one 7 (8), e41882, 2012
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
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), 1-20, 2003
Mitigation measures for pandemic influenza in Italy: an individual based model considering different scenarios
MLC Degli Atti, S Merler, C Rizzo, M Ajelli, M Massari, P Manfredi, ...
PloS one 3 (3), e1790, 2008
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
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
Algebraic stability indicators for ranked lists in molecular profiling
G Jurman, S Merler, A Barla, S Paoli, A Galea, C Furlanello
Bioinformatics 24 (2), 258-264, 2008
Spatial aspects of disease dynamics
GR Hess, SE Randolph, P Arneberg, C Chmini, C Furlanello, J Harwood, ...
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
Clinical value of prognosis gene expression signatures in colorectal cancer: a systematic review
R Sanz-Pamplona, A Berenguer, D Cordero, S Riccadonna, X Sole, ...
PloS one 7 (11), e48877, 2012
An accelerated procedure for recursive feature ranking on microarray data
C Furlanello, M Serafini, S Merler, G Jurman
Neural Networks 16 (5-6), 641-648, 2003
Geographical information systems and bootstrap aggregation (bagging) of tree-based classifiers for Lyme disease risk prediction in Trentino, Italian Alps
A Rizzoli, S Merler, C Furlanello, C Genchi
Journal of Medical Entomology 39 (3), 485-492, 2002
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