Comparisons performed using the Wilcoxon–Mann–Whitney test followed by multiple test adjustment using false discovery rate (FDR).
Integrating antibody binding and functional responses at peak immunity to define a vaccine profile. First, Random Forest (RF) was used to downselect binding response. The RF-selected features were integrsted with Fc effector functions to define the vaccine profile using Partial Least Squares Discriminant Analysis (PLS-DA) analysis.
Model evaluation was performed for both RF analysis using cross-validation and PLSDA by comparing true model to group permutated model ran 200 random times.
Correlation network between binding and functional responses was created with informative features selected by RF together with significantly correlated features (cor > abs(0.9))
Comparisons performed using the Wilcoxon signed-rank test followed by multiple test adjustment using false discovery rate (FDR).
Spearman correlation used to evaluate pairwise correlations.