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2020 – today
- 2024
[j21]Matteo Framba, Veronica Vinciotti
, Ernst C. Wit:
Latent event history models for quasi-reaction systems. Comput. Stat. Data Anal. 198: 107996 (2024)- 2023
- [j20]Luigi Augugliaro, Gianluca Sottile, Ernst C. Wit, Veronica Vinciotti:
cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values. J. Stat. Softw. 105(1) (2023) - 2020
- [j19]Luigi Augugliaro, Gianluca Sottile, Veronica Vinciotti:
The conditional censored graphical lasso estimator. Stat. Comput. 30(5): 1273-1289 (2020)
2010 – 2019
- 2019
- [j18]Paolo Berta, Veronica Vinciotti:
Multilevel logistic cluster-weighted model for outcome evaluation in health care. Stat. Anal. Data Min. 12(5): 434-443 (2019) - 2018
- [j17]Hadeel S. Klakattawi, Veronica Vinciotti, Keming Yu:
A Simple and Adaptive Dispersion Regression Model for Count Data. Entropy 20(2): 142 (2018) - [j16]Mohsina Mahmuda Ferdous, Yanchun Bao, Veronica Vinciotti, Xiaohui Liu, Paul Wilson:
Predicting gene expression from genome wide protein binding profiles. Neurocomputing 275: 1490-1499 (2018) - 2016
- [j15]Hussein Hashem, Veronica Vinciotti, Rahim Alhamzawi, Keming Yu:
Quantile regression with group lasso for classification. Adv. Data Anal. Classif. 10(3): 375-390 (2016) - [j14]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: 254 (2016) - [j13]Mirko Signorelli, Veronica Vinciotti, Ernst C. Wit:
NEAT: an efficient network enrichment analysis test. BMC Bioinform. 17: 352 (2016) - [j12]Wei Zheng, Robert M. Hierons, Miqing Li, Xiaohui Liu, Veronica Vinciotti:
Multi-objective optimisation for regression testing. Inf. Sci. 334-335: 1-16 (2016) - 2015
- [c4]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: 214-222 - 2014
- [c3]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: 507-517 - [e1]Hendrik Blockeel, Matthijs van Leeuwen, Veronica Vinciotti:
Advances in Intelligent Data Analysis XIII - 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 - November 1, 2014. Proceedings. Lecture Notes in Computer Science 8819, Springer 2014, ISBN 978-3-319-12570-1 [contents] - 2013
- [j11]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: 169 (2013) - [j10]Veronica Vinciotti, Hussein Hashem:
Robust methods for inferring sparse network structures. Comput. Stat. Data Anal. 67: 84-94 (2013) - 2011
- [j9]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)
2000 – 2009
- 2009
- [j8]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): 410-419 (2009) - 2008
- [j7]Raya Khanin, Veronica Vinciotti:
Computational Modeling of Post-Transcriptional Gene Regulation by MicroRNAs. J. Comput. Biol. 15(3): 305-316 (2008) - 2006
- [j6]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: 183 (2006) - [j5]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): 441-455 (2006) - 2005
- [j4]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): 163-177 (2005) - [j3]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): 492-501 (2005) - [j2]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) - [c2]Allan Tucker, Veronica Vinciotti, Peter A. C. 't Hoen, Xiaohui Liu:
Bayesian Network Classifiers for Time-Series Microarray Data. IDA 2005: 475-485 - 2004
- [c1]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: 6 - 2003
- [j1]David J. Hand, Veronica Vinciotti:
Choosing k for two-class nearest neighbour classifiers with unbalanced classes. Pattern Recognit. Lett. 24(9-10): 1555-1562 (2003)
Coauthor Index
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