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Statistical Applications in Genetics and Molecular Biology|March 4, 2008
Developing a discrimination rule between breast cancer patients and controls using proteomics mass spectrometric data: a three-step approachA Geert Heidema, Nico NagelkerkeJournal of Proteome Research|April 9, 2009
The association of 83 plasma proteins with CHD mortality, BMI, HDL-, and total-cholesterol in men: applying multivariate statistics to identify proteins with prognostic value and biological relevanceA Geert Heidema, Uwe Thissen, Jolanda M A Boer, et al.BMC Genetics|April 25, 2006
The challenge for genetic epidemiologists: how to analyze large numbers of SNPs in relation to complex diseasesA Geert Heidema, Jolanda M A Boer, Nico Nagelkerke, et al.Physiological Genomics|December 29, 2007
A framework to identify physiological responses in microarray-based gene expression studies: selection and interpretation of biologically relevant genesWendy Rodenburg, A Geert Heidema, Jolanda M A Boer, et al.Physiology & Behavior|October 17, 2009
Sex-specific effects of CNTF, IL6 and UCP2 polymorphisms on weight gainA Geert Heidema, Ping Wang, Caroline T M van Rossum, et al.Genetic Epidemiology|July 7, 2007
Analysis of multiple SNPs in genetic association studies: comparison of three multi-locus methods to prioritize and select SNPsA Geert Heidema, Edith J M Feskens, Pieter A F M Doevendans, et al.Plos One|January 5, 2011
Plasma protein profiling reveals protein clusters related to BMI and insulin levels in middle-aged overweight subjectsSusan J van Dijk, Edith J M Feskens, A Geert Heidema, et al.Pageof 1