Search results for "Quantile normalization"
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Removing Batch Effects from Longitudinal Gene Expression - Quantile Normalization Plus ComBat as Best Approach for Microarray Transcriptome Data
2016
International audience; Technical variation plays an important role in microarray-based gene expression studies, and batch effects explain a large proportion of this noise. It is therefore mandatory to eliminate technical variation while maintaining biological variability. Several strategies have been proposed for the removal of batch effects, although they have not been evaluated in large-scale longitudinal gene expression data. In this study, we aimed at identifying a suitable method for batch effect removal in a large study of microarray-based longitudinal gene expression. Monocytic gene expression was measured in 1092 participants of the Gutenberg Health Study at baseline and 5-year fol…
Poster Presentations
2014
Administration of recombinant human erythropoietin (rHuEpo) improves performance and hence is subject to abuse by athletes. The detection of rHuEpo doping remains a major challenge at present. The aim of the current study was to investigate whether circulating microRNA (miRNA) can be used for detecting r-HuEpo doping. Twenty trained males received rHuEpo injections of 50 IU∙kg -1 body mass every two days for 4 weeks. Blood was obtained 2 weeks before, during and 4 weeks after administration. For this pilot analysis, plasma miRNA expression was assessed at selected time points using the Affymetrix GeneChip 3.0 and the miScript 384 HC PCR Array (Qiagen). For the Affymetrix microarray data, GC…