Characterization of cis- and trans-acting features linked to TDD. (A) Random forest decision tree analysis of transcript features to explain the observed TDDindex values in resting CD4+ T lymphocytes coupled with SHAP value analysis for interpreting the output of the random forest model. (Left) Features are sorted from top to bottom with respect to their importance in predicting the TDDindex and SHAP values displayed to show how much each feature has influenced the model. (Right) Plots showing the impact of SHAP values on the model for the main identified features. (B) Binning plots of the TDDindex against selected features. Transcripts are first ordered with respect to the feature to be compared with the TDDindex and groups of 20 transcripts made along the selected feature. The mean TDDindex and feature values are plotted for each group.
