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. 2020 Sep 11;6:32. doi: 10.1038/s41522-020-00142-y

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© The Author(s) 2020

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. 6 — a Area under the ROC curve (AUC) for the GWG group. The blue line indicates the random forest model based on all OTUs, and the red line indicates the random forest model with added PBMI compared with the former model. Each AUC was calculated based on two groups of individuals who were higher or lower than a certain GWG value (e.g., one was <5 GWG, the other was >5 GWG value). The bar plot shows the distribution of GWG values in all samples. b, c Comparison of the OTUs and KEGG modules between the pregnant women with the lowest and highest GWG.