Figure 3 | Scientific Reports

Figure 3

From: Determining the most accurate 16S rRNA hypervariable region for taxonomic identification from respiratory samples

Figure 3The alternative text for this image may have been generated using AI.

ROC curves for the hypervariable region validated with a mock community microbial standard control. The cross-validation accuracy of the microbiota classifier is depicted by the ROC curve for the bacterial genera obtained: (A) AUC for V1–V2 = 0.736 (0.566–0.906); (B) AUC for V3–V4 = 0.474 (0.150–0.798); (C) AUC for V5–V7 = 0.462 (0.229–0.695); and (D) AUC for V7–V9 = 0.581 (0.297–0.865). As shown, a strong association existed between a specific microbiome genus composition and the V1–V2 hypervariable region. AUC area under the curve, ROC, receiver operating characteristic.

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