Veronica Vinciotti

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 10

Top Topics

Quantile Regression

Gene Expression

Finite Mixture Models

Top Venues

Stat. Anal. Data Min.

J. Stat. Softw.

Publications

Matteo Framba, Veronica Vinciotti, Ernst C. Wit
Latent event history models for quasi-reaction systems. Comput. Stat. Data Anal. 198 (2024)
Luigi Augugliaro, Gianluca Sottile, Ernst C. Wit, Veronica Vinciotti
Package for Conditional Graphical Lasso Inference with Censored and Missing Values. J. Stat. Softw. 105 (1) (2023)
Luigi Augugliaro, Gianluca Sottile, Veronica Vinciotti
The conditional censored graphical lasso estimator. Stat. Comput. 30 (5) (2020)
Paolo Berta, Veronica Vinciotti
Multilevel logistic cluster-weighted model for outcome evaluation in health care. Stat. Anal. Data Min. 12 (5) (2019)
Hadeel S. Klakattawi, Veronica Vinciotti, Keming Yu
A Simple and Adaptive Dispersion Regression Model for Count Data. Entropy 20 (2) (2018)
Mohsina Mahmuda Ferdous, Yanchun Bao, Veronica Vinciotti, Xiaohui Liu, Paul Wilson
Predicting gene expression from genome wide protein binding profiles. Neurocomputing 275 (2018)
Mirko Signorelli, Veronica Vinciotti, Ernst C. Wit
NEAT: an efficient network enrichment analysis test. BMC Bioinform. 17 (2016)
Wei Zheng, Robert M. Hierons, Miqing Li, Xiaohui Liu, Veronica Vinciotti
Multi-objective optimisation for regression testing. Inf. Sci. (2016)
Hussein Hashem, Veronica Vinciotti, Rahim Alhamzawi, Keming Yu
Quantile regression with group lasso for classification. Adv. Data Anal. Classif. 10 (3) (2016)
Veronica Vinciotti, Ernst C. Wit, Rick Jansen, Eco J. C. de Geus, Brenda W. J. H. Penninx, Dorret I. Boomsma, Peter A. C. 't Hoen
Consistency of biological networks inferred from microarray and sequencing data. BMC Bioinform. 17 (2016)
Mohsina Mahmuda Ferdous, Veronica Vinciotti, Xiaohui Liu, Paul Wilson
Exploring the Link Between Gene Expression and Protein Binding by Integrating mRNA Microarray and ChIP-Seq Data. SLDS (2015)
Baba B. Alhaji, Hongsheng Dai, Yoshiko Hayashi, Veronica Vinciotti, Andrew Harrison, Berthold Lausen
Analysis of ChIP-seq Data Via Bayesian Finite Mixture Models with a Non-parametric Component. ECDA (2014)
Veronica Vinciotti, Hussein Hashem
Robust methods for inferring sparse network structures. Comput. Stat. Data Anal. 67 (2013)
Yanchun Bao, Veronica Vinciotti, Ernst Wit, Peter A. C. 't Hoen
Accounting for immunoprecipitation efficiencies in the statistical analysis of ChIP-seq data. BMC Bioinform. 14 (2013)
Seyed Yahya Anvar, Allan Tucker, Veronica Vinciotti, Andrea Venema, Gert-Jan B. van Ommen, Silvere M. van der Maarel, Vered Raz, Peter A. C. 't Hoen
Interspecies Translation of Disease Networks Increases Robustness and Predictive Accuracy. PLoS Comput. Biol. 7 (11) (2011)
Zidong Wang, Xiaohui Liu, Yurong Liu, Jinling Liang, Veronica Vinciotti
An Extended Kalman Filtering Approach to Modeling Nonlinear Dynamic Gene Regulatory Networks via Short Gene Expression Time Series. IEEE ACM Trans. Comput. Biol. Bioinform. 6 (3) (2009)
Raya Khanin, Veronica Vinciotti
Computational Modeling of Post-Transcriptional Gene Regulation by MicroRNAs. J. Comput. Biol. 15 (3) (2008)
Veronica Vinciotti, Xiaohui Liu, Rolf Turk, Emile J. de Meijer, Peter A. C. 't Hoen
Exploiting the full power of temporal gene expression profiling through a new statistical test: Application to the analysis of muscular dystrophy data. BMC Bioinform. 7 (2006)
Allan Tucker, Peter A. C. 't Hoen, Veronica Vinciotti, Xiaohui Liu
Temporal Bayesian classifiers for modelling muscular dystrophy expression data. Intell. Data Anal. 10 (5) (2006)
Allan Tucker, Veronica Vinciotti, Peter A. C. 't Hoen, Xiaohui Liu
Bayesian Network Classifiers for Time-Series Microarray Data. IDA (2005)
Raya Khanin, Veronica Vinciotti, Vassilis Mersinias, Colin P. Smith, Ernst Wit
Computational inference of regulator activity in a single input motif from gene expression data. BMC Bioinform. 6 (S-3) (2005)
Veronica Vinciotti, Raya Khanin, Davide D'Alimonte, Xiaohui Liu, N. Cattini, G. Hotchkiss, Giselda Bucca, O. de Jesus, J. Rasaiyaah, Colin P. Smith, Paul Kellam, Ernst Wit
An experimental evaluation of a loop versus a reference design for two-channel microarrays. Bioinform. 21 (4) (2005)
Allan Tucker, Veronica Vinciotti, Xiaohui Liu, David Garway-Heath
A spatio-temporal Bayesian network classifier for understanding visual field deterioration. Artif. Intell. Medicine 34 (2) (2005)
Paul Kellam, Stephen Swift, Allan Tucker, Veronica Vinciotti, Nigel J. Martin, Christine A. Orengo, Xiaohui Liu
Consensus Clustering and Functional Interpretation of Gene Expression Data. Spanish Bioinformatics Conference (2004)
David J. Hand, Veronica Vinciotti
Choosing k for two-class nearest neighbour classifiers with unbalanced classes. Pattern Recognit. Lett. 24 (9-10) (2003)