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Fig. 5 | Journal of Translational Medicine

Fig. 5

From: Multicellular gene network analysis identifies a macrophage-related gene signature predictive of therapeutic response and prognosis of gliomas

Fig. 5

Evaluating statistical significance of prognostic accuracy in overall survival of the macrophage-related gene signature and competitors using a bootstrapping approach. a, b We randomly selected 12-gene sets from the whole transcriptome for 1000 times and compared their prognostic accuracy with that of the macrophage-related gene signature. a ROC curves of bootstrapped 12-gene signatures (blue, only 100 curves were shown) and macrophage-related gene signature (red), with respect to the overall survival of glioma patients in the validation set. b Probability distributions of the AUC values of the ROCs of random 12-gene signatures. The AUC of macrophage-related gene signature (red line, auc = 0.777) was shown for comparison. Probability P(AUC > 0.777) = 0.001. c, d We randomly selected 12-gene sets from the full list of DEGs for 1000 times and compared their prognostic accuracy with that of the macrophage-related gene signature. c ROC curves of bootstrapped 12-gene signatures (blue, only 100 curves were shown) and macrophage-related gene signature (red), with respect to the overall survival of glioma patients in the validation set. d Probability distributions of the AUC values of the ROCs of random 12-gene signatures. The AUC of macrophage-related gene signature (red line, auc = 0.777) was shown for comparison. Probability P(AUC > 0.777) = 0.06

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