Mark A. van de Wiel

37 papers B 1Journal 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How important are the genes to explain the outcome - the asymmetric Shapley value as an honest importance metric for high-dimensional features. CoRR Mark A. van de Wiel, Jeroen M. Goedhart, Martin Jullum, Kjersti Aas
2025	J	`jnl`	Hypothesis-free discovery from epidemiological data by automatic detection and local inference for tree-based nonlinearities and interactions. CoRR Giorgio Spadaccini, Marjolein Fokkema, Mark A. van de Wiel
2024	J	`jnl`	Refining CART Models for Covariate Shift with Importance Weight. CoRR Mingyang Cai, Thomas Klausch, Mark A. van de Wiel
2023	J	`jnl`	Co-data Learning for Bayesian Additive Regression Trees. CoRR Jeroen M. Goedhart, Thomas Klausch, Jurriaan Janssen, Mark A. van de Wiel
2023	J	`jnl`	Estimation of predictive performance in high-dimensional data settings using learning curves. Comput. Stat. Data Anal. Jeroen M. Goedhart, Thomas Klausch, Mark A. van de Wiel
2023	J	`jnl`	Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net. J. Comput. Graph. Stat. Mirrelijn M. van Nee, Tim van de Brug, Mark A. van de Wiel
2023	J	`jnl`	Penalized regression with multiple sources of prior effects. Bioinform. Armin Rauschenberger, Zied Landoulsi, Mark A. van de Wiel, Enrico Glaab
2023	B	`conf`	Percolate: An Exponential Family JIVE Model to Design DNA-Based Predictors of Drug Response. RECOMB Soufiane Mourragui, Marco Loog, Mirrelijn M. van Nee, Mark A. van de Wiel, Marcel J. T. Reinders, Lodewyk F. A. Wessels
2023	J	`jnl`	ecpc: an R-package for generic co-data models for high-dimensional prediction. BMC Bioinform. Mirrelijn M. van Nee, Lodewyk F. A. Wessels, Mark A. van de Wiel
2022	J	`jnl`	Estimation of variance components, heritability and the ridge penalty in high-dimensional generalized linear models. Commun. Stat. Simul. Comput. Jurre R. Veerman, Gwenaël G. R. Leday, Mark A. van de Wiel
2021	J	`jnl`	Fast Cross-validation for Multi-penalty High-dimensional Ridge Regression. J. Comput. Graph. Stat. Mark A. van de Wiel, Mirrelijn M. van Nee, Armin Rauschenberger
2021	J	`jnl`	Predictive and interpretable models via the stacked elastic net. Bioinform. Armin Rauschenberger, Enrico Glaab, Mark A. van de Wiel
2020	J	`jnl`	Sparse classification with paired covariates. Adv. Data Anal. Classif. Armin Rauschenberger, Iuliana Ciocanea-Teodorescu, Marianne A. Jonker, Renée X. de Menezes, Mark A. van de Wiel
2020	J	`jnl`	The spectral condition number plot for regularization parameter evaluation. Comput. Stat. Carel F. W. Peeters, Mark A. van de Wiel, Wessel N. van Wieringen
2020	J	`jnl`	Updating of the Gaussian graphical model through targeted penalized estimation. J. Multivar. Anal. Wessel N. van Wieringen, Koen A. Stam, Carel F. W. Peeters, Mark A. van de Wiel
2019	J	`jnl`	PRECISE: a domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors. Bioinform. Soufiane Mourragui, Marco Loog, Mark A. van de Wiel, Marcel J. T. Reinders, Lodewyk F. A. Wessels
2019	J	`jnl`	Stable prediction with radiomics data. CoRR Carel F. W. Peeters, Caroline Übelhör, Steven W. Mes, Roland Martens, Thomas Koopman, Pim de Graaf, Floris H. P. van Velden, Ronald Boellaard, Jonas A. Castelijns, Dennis E. te Beest, Martijn W. Heymans, Mark A. van de Wiel
2017	J	`jnl`	Better diagnostic signatures from RNAseq data through use of auxiliary co-data. Bioinform. Putri W. Novianti, Barbara C. Snoek, Saskia M. Wilting, Mark A. van de Wiel
2017	J	`jnl`	Improved high-dimensional prediction with Random Forests by the use of co-data. BMC Bioinform. Dennis E. te Beest, Steven W. Mes, Saskia M. Wilting, Ruud H. Brakenhoff, Mark A. van de Wiel
2016	J	`jnl`	GeneBreak: detection of recurrent DNA copy number aberration-associated chromosomal breakpoints within genes. F1000Research Evert van den Broek, Stef van Lieshout, Christian Rausch, Bauke Ylstra, Mark A. van de Wiel, Gerrit A. Meijer, Remond J. A. Fijneman, Sanne Abeln
2016	J	`jnl`	Testing for association between RNA-Seq and high-dimensional data. BMC Bioinform. Armin Rauschenberger, Marianne A. Jonker, Mark A. van de Wiel, Renée X. de Menezes
2015	J	`jnl`	Semi-supervised adaptive-height snipping of the hierarchical clustering tree. BMC Bioinform. Askar Obulkasim, Gerrit A. Meijer, Mark A. van de Wiel
2014	J	`jnl`	ShrinkBayes: a versatile R-package for analysis of count-based sequencing data in complex study designs. BMC Bioinform. Mark A. van de Wiel, Maarten Neerincx, Tineke E. Buffart, Daoud Sie, Henk M. W. Verheul
2014	J	`jnl`	tigaR: integrative significance analysis of temporal differential gene expression induced by genomic abnormalities. BMC Bioinform. Viktorian Miok, Saskia M. Wilting, Mark A. van de Wiel, Annelieke Jaspers, Paula I. van Noort, Ruud H. Brakenhoff, Peter J. F. Snijders, Renske D. M. Steenbergen, Wessel N. van Wieringen
2013	J	`jnl`	PLRS: a flexible tool for the joint analysis of DNA copy number and mRNA expression data. Bioinform. Gwenaël G. R. Leday, Mark A. van de Wiel
2012	J	`jnl`	Matching of array CGH and gene expression microarray features for the purpose of integrative genomic analyses. BMC Bioinform. Wessel N. van Wieringen, Kristian Unger, Gwenaël G. R. Leday, Oscar Krijgsman, Renée X. de Menezes, Bauke Ylstra, Mark A. van de Wiel
2011	J	`jnl`	Exploratory Factor Analysis of Pathway Copy Number Data with an Application Towards the Integration with Gene Expression Data. J. Comput. Biol. Wessel N. van Wieringen, Mark A. van de Wiel
2011	J	`jnl`	Preprocessing and downstream analysis of microarray DNA copy number profiles. Briefings Bioinform. Mark A. van de Wiel, Franck Picard, Wessel N. van Wieringen, Bauke Ylstra
2011	J	`jnl`	Stepwise classification of cancer samples using clinical and molecular Data. BMC Bioinform. Askar Obulkasim, Gerrit Meijer, Mark A. van de Wiel
2010	J	`jnl`	CGHpower: exploring sample size calculations for chromosomal copy number experiments. BMC Bioinform. Ilari Scheinin, Jose A. Ferreira, Sakari Knuutila, Gerrit Meijer, Mark A. van de Wiel, Bauke Ylstra
2009	J	`jnl`	Smoothing waves in array CGH tumor profiles. Bioinform. Mark A. van de Wiel, Rebecca Brosens, Paul H. C. Eilers, Candy Kumps, Gerrit Meijer, Björn Menten, Erik Sistermans, Frank Speleman, Marieke E. Timmerman, Bauke Ylstra
2008	J	`jnl`	Effects of dependence in high-dimensional multiple testing problems. BMC Bioinform. Kyung In Kim, Mark A. van de Wiel
2007	J	`jnl`	CGHcall: calling aberrations for array CGH tumor profiles. Bioinform. Mark A. van de Wiel, Kyung In Kim, Sjoerd J. Vosse, Wessel N. van Wieringen, Saskia M. Wilting, Bauke Ylstra
2007	J	`jnl`	Some Comments on False Discovery Rate. J. Bioinform. Comput. Biol. Avner Bar-Hen, Kyung In Kim, Mark A. van de Wiel
2006	J	`jnl`	A Note on Sample Size Determination for a Nonparametric Test of Location. Technometrics Subhabrata Chakraborti, B. Hong, Mark A. van de Wiel
2005	J	`jnl`	CGHMultiArray: exact P-values for multi-array comparative genomic hybridization data. Bioinform. Mark A. van de Wiel, Serge J. Smeets, Ruud H. Brakenhoff, Bauke Ylstra
2001	J	`jnl`	The split-up algorithm: a fast symbolic method for computing Comput. Stat. Mark A. van de Wiel