Capturing confounding sources of variation in DNA methylation data by spatiotemporal independent component analysis
Emilie Renard, Andrew Erich Teschendorff, Pierre-Antoine Absil · Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) · 2014
Confounding sources of variation, which are often either unknown or known with error, are widespread in genomic datasets, and failing to adjust for them may adversely impact statistical inference. In this context, we propose a “spatiotemporal” independent component analysis method that possesses a novel invariance property, and we show that that spatiotemporal aspect may increase the ability of the method to model confounding sources of variation.