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. 2021 Aug 16;7:73. doi: 10.1038/s41531-021-00216-4

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© The Author(s) 2021

Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 5 — A Overview of all ROC curves created by MetaboAnalyst 4.0 from 6 different biomarker models considering different number of features (2, 3, 5, 10, 20, and 33) with their corresponding AUC value and confidence interval. B Graphic presenting the predictive accuracies of 6 different biomarker models. The red dot specifies the highest accuracy for the 20-feature panel of model 5. C ROC curve for selected biomarker model 5. D Top 28 potential biomarkers predicted based on their frequencies of being selected during cross validation.