Figure 1.
Overview of MPRA tag sequence analysis. For each tag, relative expression within each of the CREs is calculated. Tag sequences and their relative expression are then used to train support vector regression (SVR) models using gapped k-mers as features. Tag sequence effects on their expression, as learned by SVR, are used to correct biases in raw expression data.
