Mark A. van de Wiel

Orcid: 0000-0003-4780-8472

According to our database1, Mark A. van de Wiel authored at least 33 papers between 2001 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
ecpc: an R-package for generic co-data models for high-dimensional prediction.
BMC Bioinform., December, 2023

Penalized regression with multiple sources of prior effects.
Bioinform., December, 2023

Estimation of predictive performance in high-dimensional data settings using learning curves.
Comput. Stat. Data Anal., April, 2023

Co-data Learning for Bayesian Additive Regression Trees.
CoRR, 2023

Percolate: An Exponential Family JIVE Model to Design DNA-Based Predictors of Drug Response.
Proceedings of the Research in Computational Molecular Biology, 2023

2022
Estimation of variance components, heritability and the ridge penalty in high-dimensional generalized linear models.
Commun. Stat. Simul. Comput., 2022

2021
Fast Cross-validation for Multi-penalty High-dimensional Ridge Regression.
J. Comput. Graph. Stat., 2021

Predictive and interpretable models via the stacked elastic net.
Bioinform., 2021

2020
Updating of the Gaussian graphical model through targeted penalized estimation.
J. Multivar. Anal., 2020

The spectral condition number plot for regularization parameter evaluation.
Comput. Stat., 2020

Sparse classification with paired covariates.
Adv. Data Anal. Classif., 2020

2019
Stable prediction with radiomics data.
CoRR, 2019

PRECISE: a domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors.
Bioinform., 2019

2017
Improved high-dimensional prediction with Random Forests by the use of co-data.
BMC Bioinform., 2017

Better diagnostic signatures from RNAseq data through use of auxiliary co-data.
Bioinform., 2017

2016
GeneBreak: detection of recurrent DNA copy number aberration-associated chromosomal breakpoints within genes.
F1000Research, 2016

Testing for association between RNA-Seq and high-dimensional data.
BMC Bioinform., 2016

2015
Semi-supervised adaptive-height snipping of the hierarchical clustering tree.
BMC Bioinform., 2015

2014
ShrinkBayes: a versatile R-package for analysis of count-based sequencing data in complex study designs.
BMC Bioinform., 2014

tigaR: integrative significance analysis of temporal differential gene expression induced by genomic abnormalities.
BMC Bioinform., 2014

2013
PLRS: a flexible tool for the joint analysis of DNA copy number and mRNA expression data.
Bioinform., 2013

2012
Matching of array CGH and gene expression microarray features for the purpose of integrative genomic analyses.
BMC Bioinform., 2012

2011
Exploratory Factor Analysis of Pathway Copy Number Data with an Application Towards the Integration with Gene Expression Data.
J. Comput. Biol., 2011

Stepwise classification of cancer samples using clinical and molecular Data.
BMC Bioinform., 2011

Preprocessing and downstream analysis of microarray DNA copy number profiles.
Briefings Bioinform., 2011

2010
CGHpower: exploring sample size calculations for chromosomal copy number experiments.
BMC Bioinform., 2010

2009
Smoothing waves in array CGH tumor profiles.
Bioinform., 2009

2008
Effects of dependence in high-dimensional multiple testing problems.
BMC Bioinform., 2008

2007
Some Comments on False Discovery Rate.
J. Bioinform. Comput. Biol., 2007

CGHcall: calling aberrations for array CGH tumor profiles.
Bioinform., 2007

2006
A Note on Sample Size Determination for a Nonparametric Test of Location.
Technometrics, 2006

2005
CGHMultiArray: exact P-values for multi-array comparative genomic hybridization data.
Bioinform., 2005

2001
The split-up algorithm: a fast symbolic method for computing <i>p</i>-values of distribution-free statistics.
Comput. Stat., 2001


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