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BMC Bioinformatics|September 30, 2009
Sparse canonical correlation analysis for identifying, connecting and completing gene-expression networksSandra Waaijenborg, Aeilko H ZwindermanBioinformatics (Oxford, England)|August 20, 2009
Correlating multiple SNPs and multiple disease phenotypes: penalized non-linear canonical correlation analysisSandra Waaijenborg, Aeilko H ZwindermanBMC Proceedings|December 19, 2009
Associating multiple longitudinal traits with high-dimensional single-nucleotide polymorphism data: application to the Framingham Heart StudySandra Waaijenborg, Aeilko H ZwindermanBMC Proceedings|May 10, 2008
Penalized canonical correlation analysis to quantify the association between gene expression and DNA markersSandra Waaijenborg, Aeilko H ZwindermanAlgorithms for Molecular Biology : AMB|March 9, 2010
Association of repeatedly measured intermediate risk factors for complex diseases with high dimensional SNP dataSandra Waaijenborg, Aeilko H ZwindermanStatistical Applications in Genetics and Molecular Biology|February 5, 2008
Quantifying the association between gene expressions and DNA-markers by penalized canonical correlation analysisSandra Waaijenborg, Philip C Verselewel de Witt Hamer, Aeilko H ZwindermanResearch Synthesis Methods|June 11, 2015
Multivariate fixed- and random-effects models for summarizing ordinal data in meta-analysis of diagnostic staging studiesShandra Bipat, Aeilko H ZwindermanAmerican Journal of Therapeutics|October 27, 2010
A novel approach to noninferiority testing: documented proof rather than arbitrary marginsTon J Cleophas, Aeilko H ZwindermanCurrent Clinical Pharmacology|August 1, 2008
Clinical trials are often false positive: a review of simple methods to control this problemTon J Cleophas, Aeilko H ZwindermanBMC Bioinformatics|June 19, 2004
Comparing transformation methods for DNA microarray dataHelene H Thygesen, Aeilko H ZwindermanPageof 49