Fig. 2

IgG effector functions are robustly predicted by HIV-specific antibody biophysical features. A Correlation coefficients between observed values and predicted values resulting from models learned from actual (blue) and permuted (gray) data when HIV-specific antibody biophysical features were used to predict effector functions via a regularized random forest tree model in the setting of repeated cross-validation. Bars and whiskers denote the mean and standard deviation. B Accuracy of models learned from HIV-specific antibody features (blue) as compared to influenza-specific antibody features (red). Statistical significance was defined by t-test adjusted for multiple hypothesis testing (***p < 0.001). C. Scatterplot of prediction quality (correlation coefficient) and assay signal to noise ratio. Spearman correlation coefficient and statistical significance reported in inset