Figure 2.

Analysis framework flowchart: pipeline workflow for predicting the vaccine response. Differentially induced genes between responders and non-responders were selected using a machine learning feature selection based on three different algorithms and the Wilcoxon test for each cell subset and condition. The list of selected genes was used by the Adaptive Boosting algorithm to build the predictive model and calculate the prediction score.