Extended Data Fig. 4: Further evaluation of TGSig in yellow fever and influenza datasets.

a, (top) Box plots (top) showing the TGSig score applied to pre-vaccination PBMC expression data (y axis) between low and high responders (x axis) to yellow fever vaccine in trial #2 (x axis; 4 high vs. 3 low responders). (bottom) Corresponding receiver operator curves (ROC) for vaccine response and the AUC (area under the curve) and corresponding one-tailed permutation-based p value are shown. This vaccination cohort included 10 subjects (see Fig. 2b for results on a first, larger trial with 15 subjects). Boxplots’ center line corresponds to the median value, lower and upper hinges correspond to the first and third quartiles (the 25th and 75th percentiles); lower and upper whiskers extend from the box to the smallest or largest value correspondingly, but no further than 1.5x inter-quantile range. P-value is from Wilcoxon one-tailed test. b, Forest plot showing the meta-effect sizes (Hedge’s g reflecting correlation strength with adjMFC) of the TGSig genes from a meta-analysis of four influenza datasets (Stanford 2008, NIH 2009, Yale 2011, Yale 2012; genes in gray were not present in all datasets); the bars represent the 95% CI. c, Similar to (b) but for yellow fever vaccination (computed from trial #1).