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ORCIDMark A. van de Wiel
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2020 – today
- 2024
[i4]Mingyang Cai, Thomas Klausch, Mark A. van de Wiel:
Refining CART Models for Covariate Shift with Importance Weight. CoRR abs/2410.20978 (2024)- 2023
- [j30]Armin Rauschenberger
, Zied Landoulsi, Mark A. van de Wiel, Enrico Glaab:
Penalized regression with multiple sources of prior effects. Bioinform. 39(12) (2023) - [j29]Mirrelijn M. van Nee, Lodewyk F. A. Wessels, Mark A. van de Wiel:
ecpc: an R-package for generic co-data models for high-dimensional prediction. BMC Bioinform. 24(1): 172 (2023) - [j28]Jeroen M. Goedhart, Thomas Klausch, Mark A. van de Wiel:
Estimation of predictive performance in high-dimensional data settings using learning curves. Comput. Stat. Data Anal. 180: 107622 (2023) - [j27]Mirrelijn M. van Nee, Tim van de Brug, Mark A. van de Wiel:
Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net. J. Comput. Graph. Stat. 32(3): 950-960 (2023) - [c1]Soufiane Mourragui, Marco Loog, Mirrelijn M. van Nee, Mark A. van de Wiel, Marcel J. T. Reinders, Lodewyk F. A. Wessels:
Percolate: An Exponential Family JIVE Model to Design DNA-Based Predictors of Drug Response. RECOMB 2023: 120-138 - [i3]Jeroen M. Goedhart, Thomas Klausch, Jurriaan Janssen, Mark A. van de Wiel:
Co-data Learning for Bayesian Additive Regression Trees. CoRR abs/2311.09997 (2023) - 2022
- [j26]Jurre R. Veerman, Gwenaël G. R. Leday, Mark A. van de Wiel:
Estimation of variance components, heritability and the ridge penalty in high-dimensional generalized linear models. Commun. Stat. Simul. Comput. 51(1): 116-134 (2022) - 2021
- [j25]Armin Rauschenberger, Enrico Glaab, Mark A. van de Wiel:
Predictive and interpretable models via the stacked elastic net. Bioinform. 37(14): 2012-2016 (2021) - [j24]Mark A. van de Wiel, Mirrelijn M. van Nee, Armin Rauschenberger:
Fast Cross-validation for Multi-penalty High-dimensional Ridge Regression. J. Comput. Graph. Stat. 30(4): 835-847 (2021) - 2020
- [j23]Armin Rauschenberger, Iuliana Ciocanea-Teodorescu, Marianne A. Jonker, Renée X. de Menezes, Mark A. van de Wiel:
Sparse classification with paired covariates. Adv. Data Anal. Classif. 14(3): 571-588 (2020) - [j22]Carel F. W. Peeters, Mark A. van de Wiel, Wessel N. van Wieringen:
The spectral condition number plot for regularization parameter evaluation. Comput. Stat. 35(2): 629-646 (2020) - [j21]Wessel N. van Wieringen, Koen A. Stam, Carel F. W. Peeters, Mark A. van de Wiel:
Updating of the Gaussian graphical model through targeted penalized estimation. J. Multivar. Anal. 178: 104621 (2020)
2010 – 2019
- 2019
- [j20]Soufiane Mourragui, Marco Loog, Mark A. van de Wiel, Marcel J. T. Reinders, Lodewyk F. A. Wessels:
PRECISE: a domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors. Bioinform. 35(14): i510-i519 (2019) - [i2]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:
Stable prediction with radiomics data. CoRR abs/1903.11696 (2019) - 2017
- [j19]Putri W. Novianti, Barbara C. Snoek, Saskia M. Wilting, Mark A. van de Wiel:
Better diagnostic signatures from RNAseq data through use of auxiliary co-data. Bioinform. 33(10): 1572-1574 (2017) - [j18]Dennis E. te Beest, Steven W. Mes, Saskia M. Wilting, Ruud H. Brakenhoff, Mark A. van de Wiel:
Improved high-dimensional prediction with Random Forests by the use of co-data. BMC Bioinform. 18(1): 584:1-584:11 (2017) - 2016
- [j17]Armin Rauschenberger, Marianne A. Jonker, Mark A. van de Wiel, Renée X. de Menezes:
Testing for association between RNA-Seq and high-dimensional data. BMC Bioinform. 17: 118 (2016) - [i1]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:
GeneBreak: detection of recurrent DNA copy number aberration-associated chromosomal breakpoints within genes. F1000Research 5: 2340 (2016) - 2015
- [j16]Askar Obulkasim, Gerrit A. Meijer, Mark A. van de Wiel:
Semi-supervised adaptive-height snipping of the hierarchical clustering tree. BMC Bioinform. 16: 15:1-15:11 (2015) - 2014
- [j15]Mark A. van de Wiel, Maarten Neerincx, Tineke E. Buffart, Daoud Sie, Henk M. W. Verheul:
ShrinkBayes: a versatile R-package for analysis of count-based sequencing data in complex study designs. BMC Bioinform. 15: 116 (2014) - [j14]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:
tigaR: integrative significance analysis of temporal differential gene expression induced by genomic abnormalities. BMC Bioinform. 15: 327 (2014) - 2013
- [j13]Gwenaël G. R. Leday, Mark A. van de Wiel:
PLRS: a flexible tool for the joint analysis of DNA copy number and mRNA expression data. Bioinform. 29(8): 1081-1082 (2013) - 2012
- [j12]Wessel N. van Wieringen, Kristian Unger, Gwenaël G. R. Leday, Oscar Krijgsman, Renée X. de Menezes, Bauke Ylstra, Mark A. van de Wiel:
Matching of array CGH and gene expression microarray features for the purpose of integrative genomic analyses. BMC Bioinform. 13: 80 (2012) - 2011
- [j11]Mark A. van de Wiel, Franck Picard, Wessel N. van Wieringen, Bauke Ylstra:
Preprocessing and downstream analysis of microarray DNA copy number profiles. Briefings Bioinform. 12(1): 10-21 (2011) - [j10]Askar Obulkasim, Gerrit Meijer, Mark A. van de Wiel:
Stepwise classification of cancer samples using clinical and molecular Data. BMC Bioinform. 12: 422 (2011) - [j9]Wessel N. van Wieringen, Mark A. van de Wiel:
Exploratory Factor Analysis of Pathway Copy Number Data with an Application Towards the Integration with Gene Expression Data. J. Comput. Biol. 18(5): 729-741 (2011) - 2010
- [j8]Ilari Scheinin, Jose A. Ferreira, Sakari Knuutila, Gerrit Meijer, Mark A. van de Wiel, Bauke Ylstra:
CGHpower: exploring sample size calculations for chromosomal copy number experiments. BMC Bioinform. 11: 331 (2010)
2000 – 2009
- 2009
- [j7]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:
Smoothing waves in array CGH tumor profiles. Bioinform. 25(9): 1099-1104 (2009) - 2008
- [j6]Kyung In Kim, Mark A. van de Wiel:
Effects of dependence in high-dimensional multiple testing problems. BMC Bioinform. 9 (2008) - 2007
- [j5]Mark A. van de Wiel, Kyung In Kim, Sjoerd J. Vosse, Wessel N. van Wieringen, Saskia M. Wilting, Bauke Ylstra:
CGHcall: calling aberrations for array CGH tumor profiles. Bioinform. 23(7): 892-894 (2007) - [j4]Avner Bar-Hen, Kyung In Kim, Mark A. van de Wiel:
Some Comments on False Discovery Rate. J. Bioinform. Comput. Biol. 5(4): 987-990 (2007) - 2006
- [j3]Subhabrata Chakraborti, B. Hong, Mark A. van de Wiel:
A Note on Sample Size Determination for a Nonparametric Test of Location. Technometrics 48(1): 88-94 (2006) - 2005
- [j2]Mark A. van de Wiel, Serge J. Smeets, Ruud H. Brakenhoff, Bauke Ylstra:
CGHMultiArray: exact P-values for multi-array comparative genomic hybridization data. Bioinform. 21(14): 3193-3194 (2005) - 2001
- [j1]Mark A. van de Wiel:
The split-up algorithm: a fast symbolic method for computing p-values of distribution-free statistics. Comput. Stat. 16(4): 519-538 (2001)
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