Veronica Vinciotti
Veronica Vinciotti
Associate Professor, University of Trento, COSTNET CA15109
Verified email at - Homepage
Cited by
Cited by
The consequences of feminization in breeding groups of wild fish
CA Harris, PB Hamilton, TJ Runnalls, V Vinciotti, A Henshaw, D Hodgson, ...
Environmental Health Perspectives 119 (3), 306-311, 2011
Consensus clustering and functional interpretation of gene-expression data
S Swift, A Tucker, V Vinciotti, N Martin, C Orengo, X Liu, P Kellam
Genome biology 5 (11), R94, 2004
An extended Kalman filtering approach to modeling nonlinear dynamic gene regulatory networks via short gene expression time series
Z Wang, X Liu, Y Liu, J Liang, V Vinciotti
IEEE/ACM Transactions on Computational Biology and Bioinformatics 6 (3), 410-419, 2009
Choosing k for two-class nearest neighbour classifiers with unbalanced classes
DJ Hand, V Vinciotti
Pattern Recognition Letters 24 (9), 1555-1562, 2003
Local versus global models for classification problems: Fitting models where it matters
DJ Hand, V Vinciotti
American statistician 57 (2), 124-131, 2003
An experimental evaluation of a loop versus a reference design for two-channel microarrays
V Vinciotti, R Khanin, D D'Alimonte, X Liu, N Cattini, G Hotchkiss, G Bucca, ...
Bioinformatics 21 (4), 492-501, 2005
Structure and function in glaucoma: the relationship between a functional visual field map and an anatomic retinal map
NG Strouthidis, V Vinciotti, AJ Tucker, SK Gardiner, DP Crabb, ...
Investigative ophthalmology & visual science 47 (12), 5356-5362, 2006
A spatio-temporal Bayesian network classifier for understanding visual field deterioration
A Tucker, V Vinciotti, X Liu, D Garway-Heath
Artificial intelligence in medicine 34 (2), 163-177, 2005
Computational modeling of post-transcriptional gene regulation by microRNAs
R Khanin, V Vinciotti
Journal of Computational Biology 15 (3), 305-316, 2008
Repo-Man/PP1 regulates heterochromatin formation in interphase.
I de Castro, J Budzak, MD Giacinto, L Ligammari, E Gokhan, C Spanos, ...
Nature Communications 8 (14048), 2017
A simple and adaptive dispersion regression model for count data
HS Klakattawi, V Vinciotti, K Yu
Entropy 20 (2), 142, 2018
NEAT: an efficient network enrichment analysis test
M Signorelli, V Vinciotti, E Wit
BMC Bioinformatics 17 (1), 352, 2016
Multi-objective optimisation for regression testing
W Zheng, RM Hierons, M Li, XH Liu, V Vinciotti
Information Sciences 334, 1-16, 2016
Statistical reconstruction of transcription factor activity using Michaelis–Menten kinetics
R Khanin, V Vinciotti, V Mersinias, CP Smith, E Wit
Biometrics 63 (3), 816-823, 2007
Scorecard construction with unbalanced class sizes
V Vinciotti, DJ Hand
Journal of the Iranian Statistical Society (JIRSS) 2 (2), 189-205, 2003
Reconstructing repressor protein levels from expression of gene targets in Escherichia coli
R Khanin, V Vinciotti, E Wit
Proceedings of the National Academy of Sciences 103 (49), 18592-18596, 2006
How rare are power-law networks really?
I Artico, I Smolyarenko, V Vinciotti, EC Wit
Proceedings of the Royal Society A 476 (2241), 20190742, 2020
Quantile regression with group lasso for classification
H Hashem, V Vinciotti, R Alhamzawi, K Yu
Advances in Data Analysis and Classification 10 (3), 375-390, 2016
Joint modeling of ChIP-seq data via a Markov random field model
Y Bao, V Vinciotti, E Wit, PAC 't Hoen
Biostatistics 15 (2), 296-310, 2014
Accounting for immunoprecipitation efficiencies in the statistical analysis of ChIP-seq data
Y Bao, V Vinciotti, E Wit, PAC ’t Hoen
BMC bioinformatics 14, 1-16, 2013
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