Veronica Vinciotti - researchr alias

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Viewing Publication 1 - 24 from 24

2023

R Package for Conditional Graphical Lasso Inference with Censored and Missing ValuesLuigi Augugliaro, Gianluca Sottile, Ernst C. Wit, Veronica Vinciotti. jstatsoft, 105(1), 2023. [doi]

2020

The conditional censored graphical lasso estimatorLuigi Augugliaro, Gianluca Sottile, Veronica Vinciotti. sac, 30(5):1273-1289, 2020. [doi]

2019

Multilevel logistic cluster-weighted model for outcome evaluation in health carePaolo Berta, Veronica Vinciotti. sadm, 12(5):434-443, 2019. [doi]

2018

Predicting gene expression from genome wide protein binding profilesMohsina Mahmuda Ferdous, Yanchun Bao, Veronica Vinciotti, Xiaohui Liu, Paul Wilson. ijon, 275:1490-1499, 2018. [doi]

A Simple and Adaptive Dispersion Regression Model for Count DataHadeel S. Klakattawi, Veronica Vinciotti, Keming Yu. entropy, 20(2):142, 2018. [doi]

2016

2015

Exploring the Link Between Gene Expression and Protein Binding by Integrating mRNA Microarray and ChIP-Seq DataMohsina Mahmuda Ferdous, Veronica Vinciotti, Xiaohui Liu, Paul Wilson. slds 2015: 214-222 [doi]

2014

Analysis of ChIP-seq Data Via Bayesian Finite Mixture Models with a Non-parametric ComponentBaba B. Alhaji, Hongsheng Dai, Yoshiko Hayashi, Veronica Vinciotti, Andrew Harrison, Berthold Lausen. ecda 2016: 507-517 [doi]

2013

Accounting for immunoprecipitation efficiencies in the statistical analysis of ChIP-seq dataYanchun Bao, Veronica Vinciotti, Ernst Wit, Peter A. C. 't Hoen. bmcbi, 14:169, 2013. [doi]

Robust methods for inferring sparse network structuresVeronica Vinciotti, Hussein Hashem. csda, 67:84-94, 2013. [doi]

2011

Interspecies Translation of Disease Networks Increases Robustness and Predictive AccuracySeyed 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. ploscb, 7(11), 2011. [doi]

2009

An Extended Kalman Filtering Approach to Modeling Nonlinear Dynamic Gene Regulatory Networks via Short Gene Expression Time SeriesZidong Wang, Xiaohui Liu, Yurong Liu, Jinling Liang, Veronica Vinciotti. tcbb, 6(3):410-419, 2009. [doi]

2008

Computational Modeling of Post-Transcriptional Gene Regulation by MicroRNAsRaya Khanin, Veronica Vinciotti. jcb, 15(3):305-316, 2008. [doi]

2006

Temporal Bayesian classifiers for modelling muscular dystrophy expression dataAllan Tucker, Peter A. C. t Hoen, Veronica Vinciotti, Xiaohui Liu. ida, 10(5):441-455, 2006. [doi]

Exploiting the full power of temporal gene expression profiling through a new statistical test: Application to the analysis of muscular dystrophy dataVeronica Vinciotti, Xiaohui Liu, Rolf Turk, Emile J. de Meijer, Peter A. C. t Hoen. bmcbi, 7:183, 2006. [doi]

2005

Computational inference of regulator activity in a single input motif from gene expression dataRaya Khanin, Veronica Vinciotti, Vassilis Mersinias, Colin P. Smith, Ernst Wit. bmcbi, 6(S-3), 2005. [doi]

Bayesian Network Classifiers for Time-Series Microarray DataAllan Tucker, Veronica Vinciotti, Peter A. C. t Hoen, Xiaohui Liu. ida 2005: 475-485 [doi]

A spatio-temporal Bayesian network classifier for understanding visual field deteriorationAllan Tucker, Veronica Vinciotti, Xiaohui Liu, David Garway-Heath. artmed, 34(2):163-177, 2005. [doi]

An experimental evaluation of a loop versus a reference design for two-channel microarraysVeronica Vinciotti, Raya Khanin, Davide D Alimonte, Xiaohui Liu, N. Cattini, G. Hotchkiss, G. Bucca, O. de Jesus, J. Rasaiyaah, Colin P. Smith, Paul Kellam, Ernst Wit. bioinformatics, 21(4):492-501, 2005. [doi]

2004

Consensus Clustering and Functional Interpretation of Gene Expression DataPaul Kellam, Stephen Swift, Allan Tucker, Veronica Vinciotti, Nigel J. Martin, Christine A. Orengo, Xiaohui Liu. jbi 2004: 6

2003

Choosing k for two-class nearest neighbour classifiers with unbalanced classesDavid J. Hand, Veronica Vinciotti. prl, 24(9-10):1555-1562, 2003. [doi]

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