Veronica Vinciotti

According to our database, Veronica Vinciotti authored at least 25 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Latent event history models for quasi-reaction systems.

Matteo Framba, Veronica Vinciotti, Ernst C. Wit

Comput. Stat. Data Anal., 2024

2023

cglasso: An <i>R</i> Package for Conditional Graphical Lasso Inference with Censored and Missing Values.

Luigi Augugliaro, Gianluca Sottile, Ernst C. Wit, Veronica Vinciotti

J. Stat. Softw., 2023

2020

The conditional censored graphical lasso estimator.

Luigi Augugliaro, Gianluca Sottile, Veronica Vinciotti

Stat. Comput., 2020

2019

Multilevel logistic cluster-weighted model for outcome evaluation in health care.

Paolo Berta, Veronica Vinciotti

Stat. Anal. Data Min., 2019

2018

Predicting gene expression from genome wide protein binding profiles.

Mohsina Mahmuda Ferdous, Yanchun Bao, Veronica Vinciotti, Xiaohui Liu, Paul Wilson

Neurocomputing, 2018

A Simple and Adaptive Dispersion Regression Model for Count Data.

Hadeel S. Klakattawi, Veronica Vinciotti, Keming Yu

Entropy, 2018

2016

Multi-objective optimisation for regression testing.

Wei Zheng, Robert M. Hierons, Miqing Li, Xiaohui Liu, Veronica Vinciotti

Inf. Sci., 2016

Consistency of biological networks inferred from microarray and sequencing data.

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

BMC Bioinform., 2016

NEAT: an efficient network enrichment analysis test.

Mirko Signorelli, Veronica Vinciotti, Ernst C. Wit

BMC Bioinform., 2016

Quantile regression with group lasso for classification.

Hussein Hashem, Veronica Vinciotti, Rahim Alhamzawi, Keming Yu

Adv. Data Anal. Classif., 2016

2015

Exploring the Link Between Gene Expression and Protein Binding by Integrating mRNA Microarray and ChIP-Seq Data.

Mohsina Mahmuda Ferdous, Veronica Vinciotti, Xiaohui Liu, Paul Wilson

Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

2014

Analysis of ChIP-seq Data Via Bayesian Finite Mixture Models with a Non-parametric Component.

Baba B. Alhaji, Hongsheng Dai, Yoshiko Hayashi, Veronica Vinciotti, Andrew Harrison, Berthold Lausen

Proceedings of the Analysis of Large and Complex Data, 2014

2013

Robust methods for inferring sparse network structures.

Veronica Vinciotti, Hussein Hashem

Comput. Stat. Data Anal., 2013

Accounting for immunoprecipitation efficiencies in the statistical analysis of ChIP-seq data.

Yanchun Bao, Veronica Vinciotti, Ernst Wit, Peter A. C. 't Hoen

BMC Bioinform., 2013

2011

Interspecies Translation of Disease Networks Increases Robustness and Predictive Accuracy.

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

PLoS Comput. Biol., 2011

2009

An Extended Kalman Filtering Approach to Modeling Nonlinear Dynamic Gene Regulatory Networks via Short Gene Expression Time Series.

Zidong Wang, Xiaohui Liu, Yurong Liu, Jinling Liang, Veronica Vinciotti

IEEE ACM Trans. Comput. Biol. Bioinform., 2009

2008

Computational Modeling of Post-Transcriptional Gene Regulation by MicroRNAs.

Raya Khanin, Veronica Vinciotti

J. Comput. Biol., 2008

2006

Temporal Bayesian classifiers for modelling muscular dystrophy expression data.

Allan Tucker, Peter A. C. 't Hoen, Veronica Vinciotti, Xiaohui Liu

Intell. Data Anal., 2006

Exploiting the full power of temporal gene expression profiling through a new statistical test: Application to the analysis of muscular dystrophy data.

Veronica Vinciotti, Xiaohui Liu, Rolf Turk, Emile J. de Meijer, Peter A. C. 't Hoen

BMC Bioinform., 2006

2005

Computational inference of regulator activity in a single input motif from gene expression data.

Raya Khanin, Veronica Vinciotti, Vassilis Mersinias, Colin P. Smith, Ernst Wit

BMC Bioinform., 2005

An experimental evaluation of a loop versus a reference design for two-channel microarrays.

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

Bioinform., 2005

A spatio-temporal Bayesian network classifier for understanding visual field deterioration.

Allan Tucker, Veronica Vinciotti, Xiaohui Liu, David Garway-Heath

Artif. Intell. Medicine, 2005

Bayesian Network Classifiers for Time-Series Microarray Data.

Allan Tucker, Veronica Vinciotti, Peter A. C. 't Hoen, Xiaohui Liu

Proceedings of the Advances in Intelligent Data Analysis VI, 2005

2004

Consensus Clustering and Functional Interpretation of Gene Expression Data.

Paul Kellam, Stephen Swift, Allan Tucker, Veronica Vinciotti, Nigel J. Martin, Christine A. Orengo, Xiaohui Liu

Proceedings of the 5th Annual Spanish Bioinformatics Conference, Barcelona, Catalonia, 2004

2003

Choosing k for two-class nearest neighbour classifiers with unbalanced classes.

David J. Hand, Veronica Vinciotti

Pattern Recognit. Lett., 2003