Effects of dependence in high-dimensional multiple testing problems

por Kim, Kyung In, van de Wiel, Mark A
Publicado 2008

stepwiseCM: An R Package for Stepwise Classification of Cancer Samples Using Multiple Heterogeneous Data Sets

por Obulkasim, Askar, van de Wiel, Mark A
Publicado 2014

HCsnip: An R Package for Semi-supervised Snipping of the Hierarchical Clustering Tree

por Obulkasim, Askar, van de Wiel, Mark A
Publicado 2015

Microarray Data Analysis: From Hypotheses to Conclusions Using Gene Expression Data

por Armstrong, Nicola J., van de Wiel, Mark A.
Publicado 2004

CGHregions: Dimension Reduction for Array CGH Data with Minimal Information Loss

por van de Wiel, Mark A., van Wieringen, Wessel N.
Publicado 2007

Predictive and interpretable models via the stacked elastic net

por Rauschenberger, Armin, Glaab, Enrico, van de Wiel, Mark A
Publicado 2020

Stepwise classification of cancer samples using clinical and molecular data

por Obulkasim, Askar, Meijer, Gerrit A, van de Wiel, Mark A
Publicado 2011

Semi-supervised adaptive-height snipping of the hierarchical clustering tree

por Obulkasim, Askar, Meijer, Gerrit A, van de Wiel, Mark A
Publicado 2015

Methods for significance testing of categorical covariates in logistic regression models after multiple imputation: power and applicability analysis

por Eekhout, Iris, van de Wiel, Mark A., Heymans, Martijn W.
Publicado 2017

Normalized, Segmented or Called aCGH Data?

por van Wieringen, Wessel N., van de Wiel, Mark A., Ylstra, Bauke
Publicado 2007

Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction

por van de Wiel, Mark A., Te Beest, Dennis E., Münch, Magnus M.
Publicado 2018

ecpc: an R-package for generic co-data models for high-dimensional prediction

por van Nee, Mirrelijn M., Wessels, Lodewyk F. A., van de Wiel, Mark A.
Publicado 2023

Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net

por van Nee, Mirrelijn M., van de Brug, Tim, van de Wiel, Mark A.
Publicado 2022

Testing for association between RNA-Seq and high-dimensional data

por Rauschenberger, Armin, Jonker, Marianne A., van de Wiel, Mark A., Menezes, Renée X.
Publicado 2016

Flexible co‐data learning for high‐dimensional prediction

por van Nee, Mirrelijn M., Wessels, Lodewyk F.A., van de Wiel, Mark A.
Publicado 2021

FocalCall: An R Package for the Annotation of Focal Copy Number Aberrations

por Krijgsman, Oscar, Benner, Christian, Meijer, Gerrit A, van de Wiel, Mark A, Ylstra, Bauke
Publicado 2014

Erratum to: Assessment of predictive performance in incomplete data by combining internal validation and multiple imputation

por Wahl, Simone, Boulesteix, Anne-Laure, Zierer, Astrid, Thorand, Barbara, van de Wiel, Mark A.
Publicado 2016

Drug sensitivity prediction with normal inverse Gaussian shrinkage informed by external data

por Münch, Magnus M., van de Wiel, Mark A., Richardson, Sylvia, Leday, Gwenaël G. R.
Publicado 2020

ShrinkBayes: a versatile R-package for analysis of count-based sequencing data in complex study designs

por van de Wiel, Mark A, Neerincx, Maarten, Buffart, Tineke E, Sie, Daoud, Verheul, Henk MW
Publicado 2014

MLPAnalyzer: Data Analysis Tool for Reliable Automated Normalization of MLPA Fragment Data

por Coffa, Jordy, van de Wiel, Mark A., Diosdado, Begoña, Carvalho, Beatriz, Schouten, Jan, Meijer, Gerrit A.
Publicado 2008