IFNA1 and infection: We found that RF classifiers trained on LPS- and Imiquimod/Poly(I:C)-induced IFN module genes accurately predicted children with bacterial (AUC = 0.889) and viral (AUC = 0.874/0.838) infections, respectively (Figures 5A, S7F).