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. 2022 May 14;23:125. doi: 10.1186/s12931-022-02035-4

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© The Author(s) 2022

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 7 — Efficacy evaluation for the three-gene set predicting PTB versus HCs by receiver operating characteristic curve (ROC) analysis. A ROC of the single gene or optional combinations of the three-gene set for discriminating PTB from HCs in independent GSE56153 dataset. 95% confidence interval of AUC was shown in the legend area, and the different colors presented different genes or combinations. B, C ROC of the three-gene set in the other seven independent datasets (GSE19491, GSE28623, GSE34608, GSE54992, GSE62525, GSE147964, GSE147690). 95% CI of AUC was shown in the legend area, and the different colors presented different datasets