Nonlinear regression modeling determines the relative influence of TL features on gene expression in vivo (A) HGBR for predicting YFP expression from TL features. The scatter plot shows the measured YFP expression (y-axis) for all 5′ TLs versus the HGBR model predictions of YFP (x-axis) in WT yeast. The resulting model explains ∼80% of variance in experimental YFP. (B) The table shows model importance scores for the significant features extracted from the HGBR model after n = 100 iterations (additional features shown in supplemental data). (C) Schematic of 5′ TL features predicted to influence YFP expression based on the EN model.