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Mark A van de Wiel

Showing results (1-10 of 127) with videos related to

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Cancer Informatics|April 11, 2015
HCsnip: An R Package for Semi-supervised Snipping of the Hierarchical Clustering TreeAskar Obulkasim, Mark A van de Wiel
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 Wiel
Biometrical Journal. Biometrische Zeitschrift|December 30, 2025
Informative Co-Data Learning for High-Dimensional Horseshoe RegressionClaudio Busatto, Mark A van de Wiel
Cellular 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 Wiel
BMC Bioinformatics|February 27, 2008
Effects of dependence in high-dimensional multiple testing problemsKyung In Kim, Mark A van de Wiel
Biometrical Journal. Biometrische Zeitschrift|February 18, 2011
Confidence scores for prediction modelsThomas A Gerds, Mark A van de Wiel
Biometrics|September 11, 2007
Estimating the false discovery rate using nonparametric deconvolutionMark A van de Wiel, Kyung In Kim
Cancer Informatics|May 21, 2009
CGHregions: dimension reduction for array CGH data with minimal information lossMark A van de Wiel, Wessel N van Wieringen
Statistical Applications in Genetics and Molecular Biology|February 21, 2014
Penalized differential pathway analysis of integrative oncogenomics studiesWessel N van Wieringen, Mark A van de Wiel
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|May 11, 2011
Exploratory factor analysis of pathway copy number data with an application towards the integration with gene expression dataWessel N van Wieringen, Mark A van de Wiel
Pageof 13

Showing results (1-10 of 127) with videos related to

Sort By:
Pageof 13
Cancer Informatics|April 11, 2015
HCsnip: An R Package for Semi-supervised Snipping of the Hierarchical Clustering TreeAskar Obulkasim, Mark A van de Wiel
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 Wiel
Biometrical Journal. Biometrische Zeitschrift|December 30, 2025
Informative Co-Data Learning for High-Dimensional Horseshoe RegressionClaudio Busatto, Mark A van de Wiel
Cellular 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 Wiel
BMC Bioinformatics|February 27, 2008
Effects of dependence in high-dimensional multiple testing problemsKyung In Kim, Mark A van de Wiel
Biometrical Journal. Biometrische Zeitschrift|February 18, 2011
Confidence scores for prediction modelsThomas A Gerds, Mark A van de Wiel
Biometrics|September 11, 2007
Estimating the false discovery rate using nonparametric deconvolutionMark A van de Wiel, Kyung In Kim
Cancer Informatics|May 21, 2009
CGHregions: dimension reduction for array CGH data with minimal information lossMark A van de Wiel, Wessel N van Wieringen
Statistical Applications in Genetics and Molecular Biology|February 21, 2014
Penalized differential pathway analysis of integrative oncogenomics studiesWessel N van Wieringen, Mark A van de Wiel
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|May 11, 2011
Exploratory factor analysis of pathway copy number data with an application towards the integration with gene expression dataWessel N van Wieringen, Mark A van de Wiel
Pageof 13