Veronica Vinciotti

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

Xiaohui Liu, Raya Khanin, Ernst Wit, 2005, Bioinform..

Bayesian Networks to Classify Visual Field Data

Allan Tucker, Xiaohui Liu, Veronica Vinciotti, 2004 .

Joint modeling of ChIP-seq data via a Markov random field model.

Ernst Wit, Veronica Vinciotti, Yanchun Bao, 2013, Biostatistics.

A Simple and Adaptive Dispersion Regression Model for Count Data

Veronica Vinciotti, Hadeel S. Klakattawi, Keming Yu, 2015, Entropy.

$\ell_1$-Penalized censored Gaussian graphical model.

Antonino Abbruzzo, Veronica Vinciotti, Luigi Augugliaro, 2018, Biostatistics.

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

Raya Khanin, Ernst Wit, Veronica Vinciotti, 2005, BMC Bioinformatics.

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

Andrew Harrison, Berthold Lausen, Veronica Vinciotti, 2014, ECDA.

Preface to the themed issue on ‘Statistical network science and its applications’

Ernst Wit, Veronica Vinciotti, 2017 .

Interspecies Translation of Disease Networks Increases Robustness and Predictive Accuracy

Allan Tucker, Peter A. C. 't Hoen, Veronica Vinciotti, 2011, PLoS Comput. Biol..

Quantile regression with group lasso for classification

Rahim Alhamzawi, Veronica Vinciotti, Keming Yu, 2015, Advances in Data Analysis and Classification.

A computationally efficient correlated mixed probit model for credit risk inference

Veronica Vinciotti, Elisa Tosetti, V. Vinciotti, 2018, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Statistica Neerlandica special issue on Statistical Network Science

Ernst Wit, Veronica Vinciotti, V. Vinciotti, 2020, Statistica Neerlandica.

NEAT: an efficient network enrichment analysis test

Ernst Wit, Veronica Vinciotti, Mirko Signorelli, 2016, BMC Bioinformatics.

Penalised inference for lagged dependent regression in the presence of autocorrelated residuals

Veronica Vinciotti, Hamed Haselimashhadi, V. Vinciotti, 2018 .

Robustness of dynamic gene regulatory networks in Neisseria

Antonino Abbruzzo, Veronica Vinciotti, Luigi Augugliaro, 2014 .

Robust Selection of Predictive Genes via a Simple Classifier

Xiaohui Liu, Allan Tucker, Veronica Vinciotti, 2006, Applied bioinformatics.

Sparse Estimation of Huge Networks with a Block�?Wise Structure

Veronica Vinciotti, Elisa Tosetti, Francesco Mosocne, 2017 .

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

Xiaohui Liu, Paul Wilson, Veronica Vinciotti, 2015, SLDS.

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

Peter A. C. 't Hoen, Ernst Wit, Yanchun Bao, 2013, BMC Bioinformatics.

Temporal Bayesian classifiers for modelling muscular dystrophy expression data

Allan Tucker, Peter A. C. 't Hoen, Xiaohui Liu, 2006, Intell. Data Anal..

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

Xiaohui Liu, David F. Garway-Heath, Veronica Vinciotti, 2005, Artif. Intell. Medicine.

Consensus clustering and functional interpretation of gene-expression data

Xiaohui Liu, Allan Tucker, Nigel J. Martin, 2004, Genome Biology.

l1-Penalized censored Gaussian graphical model

Antonino Abbruzzo, Veronica Vinciotti, Luigi Augugliaro, 2018 .

The conditional censored graphical lasso estimator

Gianluca Sottile, Veronica Vinciotti, Luigi Augugliaro, 2020, Stat. Comput..

Overlapping mixture models for network data (\texttt{manet}) with covariates adjustment

Saverio Ranciati, Veronica Vinciotti, Giuliano Galimberti, 2018 .

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

Xiaohui Liu, Peter A. C. 't Hoen, Veronica Vinciotti, 2006, BMC Bioinformatics.

Bayesian Network Classifiers for Time-Series Microarray Data

Xiaohui Liu, Allan Tucker, Peter A. C. 't Hoen, 2005, IDA.

Robust methods for inferring sparse network structures

Veronica Vinciotti, Hussein Hashem, V. Vinciotti, 2013, Comput. Stat. Data Anal..

Multilevel logistic cluster‐weighted model for outcome evaluation in health care *

Veronica Vinciotti, Paolo Berta, V. Vinciotti, 2019, Stat. Anal. Data Min..

Mixtures of multivariate generalized linear models with overlapping clusters

Saverio Ranciati, Veronica Vinciotti, Giuliano Galimberti, 2019 .

Large Network Inference: New Insights in Health Economics

Veronica Vinciotti, Elisa Tosetti, Francesco Moscone, 2018 .

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

David J. Hand, Veronica Vinciotti, D. Hand, 2003, Pattern Recognit. Lett..

Multi-objective optimisation for regression testing

Robert M. Hierons, Xiaohui Liu, Miqing Li, 2016, Inf. Sci..

Predicting gene expression from genome wide protein binding profiles

Xiaohui Liu, Yanchun Bao, Paul Wilson, 2018, Neurocomputing.

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

Zidong Wang, Yurong Liu, Xiaohui Liu, 2009, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Identifying overlapping terrorist cells from the Noordin Top actor–event network

Saverio Ranciati, Veronica Vinciotti, Ernst C. Wit, 2017, The Annals of Applied Statistics.

CLUSTERING TWO-MODE BINARY NETWORK DATA WITH OVERLAPPING MIXTURE MODEL AND COVARIATES INFORMATION

Ernst Wit, Saverio Ranciati, Veronica Vinciotti, 2019 .

Computational Modeling of Post-Transcriptional Gene Regulation by MicroRNAs

Raya Khanin, Veronica Vinciotti, V. Vinciotti, 2008, J. Comput. Biol..

The network structure of cultural distances

Veronica Vinciotti, Luca De Benedictis, Roberto Rondinelli, 2020 .

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

Zidong Wang, Yurong Liu, Xiaohui Liu, 2009, TCBB.

Consistency of biological networks inferred from microarray and sequencing data

Peter A. C. 't Hoen, Ernst Wit, Dorret I. Boomsma, 2016, BMC Bioinformatics.

Advances in Intelligent Data Analysis XIII

Hendrik Blockeel, Veronica Vinciotti, Matthijs van Leeuwen, 2014, Lecture Notes in Computer Science.

Model selection for factorial Gaussian graphical models with an application to dynamic regulatory networks

Antonino Abbruzzo, Veronica Vinciotti, Luigi Augugliaro, 2016, Statistical applications in genetics and molecular biology.

The Consequences of Feminization in Breeding Groups of Wild Fish

Veronica Vinciotti, John P. Sumpter, Dave Hodgson, 2010, Environmental health perspectives.

Prior elicitation for mixed quantile regression with an allometric model

Allan Tucker, Rahim Alhamzawi, Veronica Vinciotti, 2011 .

Reconstructing repressor protein levels from expression of gene targets in E. Coli.

Ernst Wit, Veronica Vinciotti, Raya Khanin, 2006 .

A Differentiable Alternative to the Lasso Penalty

Veronica Vinciotti, Hamed Haselimashhadi, V. Vinciotti, 2016, 1609.04985.

Structure and function in glaucoma: The relationship between a functional visual field map and an anatomic retinal map.

David P Crabb, Veronica Vinciotti, Nicholas G Strouthidis, 2006, Investigative ophthalmology & visual science.

M-quantile Regression Analysis of Temporal Gene Expression Data

Veronica Vinciotti, Keming Yu, Keming Yu, 2009, Statistical applications in genetics and molecular biology.