Barbara Di Camillo
Barbara Di Camillo
University of Padova, Information Engineering Department
Verified email at
Cited by
Cited by
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
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
Critical assessment of automated flow cytometry data analysis techniques
N Aghaeepour, G Finak, H Hoos, TR Mosmann, R Brinkman, R Gottardo, ...
Nature methods 10 (3), 228-238, 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
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
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
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
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
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
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 (4), 1-9, 2012
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
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
A gene network simulator to assess reverse engineering algorithms
B Di Camillo, G Toffolo, C Cobelli
Annals of the New York Academy of Sciences 1158 (1), 125-142, 2009
Confined 3D microenvironment regulates early differentiation in human pluripotent stem cells
GG Giobbe, M Zagallo, M Riello, E Serena, G Masi, L Barzon, ...
Biotechnology and bioengineering 109 (12), 3119-3132, 2012
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
Single-cell RNA-sequencing: assessment of differential expression analysis methods
A Dal Molin, G Baruzzo, B Di Camillo
Frontiers in genetics 8, 62, 2017
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
A quantization method based on threshold optimization for microarray short time series
B Di Camillo, F Sanchez-Cabo, G Toffolo, SK Nair, Z Trajanoski, C Cobelli
Bmc Bioinformatics 6 (4), 1-7, 2005
Reducing bias in RNA sequencing data: a novel approach to compute counts
F Finotello, E Lavezzo, L Bianco, L Barzon, P Mazzon, P Fontana, ...
BMC bioinformatics 15 (1), 1-12, 2014
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