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Cancer Informatics|April 29, 2014
stepwiseCM: An R Package for Stepwise Classification of Cancer Samples Using Multiple Heterogeneous Data SetsAskar Obulkasim, Mark A van de WielCancer Informatics|April 11, 2015
HCsnip: An R Package for Semi-supervised Snipping of the Hierarchical Clustering TreeAskar Obulkasim, Mark A van de WielBMC Bioinformatics|November 1, 2011
Stepwise classification of cancer samples using clinical and molecular dataAskar Obulkasim, Gerrit A Meijer, Mark A van de WielBMC Bioinformatics|January 17, 2015
Semi-supervised adaptive-height snipping of the hierarchical clustering treeAskar Obulkasim, Gerrit A Meijer, Mark A van de WielBiometrical Journal. Biometrische Zeitschrift|December 30, 2025
Informative Co-Data Learning for High-Dimensional Horseshoe RegressionClaudio Busatto, Mark A van de WielCellular Oncology : the Official Journal of the International Society for Cellular Oncology|December 30, 2004
Microarray data analysis: from hypotheses to conclusions using gene expression dataNicola J Armstrong, Mark A van de WielBMC Bioinformatics|February 27, 2008
Effects of dependence in high-dimensional multiple testing problemsKyung In Kim, Mark A van de WielBiometrical Journal. Biometrische Zeitschrift|February 18, 2011
Confidence scores for prediction modelsThomas A Gerds, Mark A van de WielBiometrics|September 11, 2007
Estimating the false discovery rate using nonparametric deconvolutionMark A van de Wiel, Kyung In KimCancer Informatics|May 21, 2009
CGHregions: dimension reduction for array CGH data with minimal information lossMark A van de Wiel, Wessel N van WieringenPageof 14