Fig. 1. mRNA features predictive of readthrough efficiency.

Feature importance scores, % increase in mean square error (%IncMSE) for regression (a), and mean decrease accuracy (MDA) for classification (b) were extracted from random forest models. The higher the feature importance score (red), the more important a feature is in predicting readthrough efficiency or distinguishing between “high” and “low” readthrough mRNAs. Numbers or categorical values randomly assigned to the mRNAs are used as negative controls (“NC”) and to set the baseline feature importance scores as unimportant features. aa amino acid, nt nucleotide. Source data are provided as a Source Data file.