Figure 2From: Mapping gene expression quantitative trait loci by singular value decomposition and independent component analysisProportion of Variance explained by each eigentrait. Singular value decomposition results in dimensions that we refer to as "eigentraits", which are ranked according to how much variation in the dataset they explain. The distribution of variance explained for the observed and null data are shown as blue and red circles, respectively.Back to article page