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. 2023 Feb 15;13:2694. doi: 10.1038/s41598-022-26345-1

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© The Author(s) 2023

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 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/.

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Establishment of a machine learning score with 3 screened genes. The GSE75214, GSE126124 and GSE186582 datasets were merged, and batch effects were further removed. PCA plots of different datasets are illustrated before (A) and after (B) batch effects were removed. To investigate the effects of the machine learning score, ROC curves were illustrated in the combined datasets (C) and GSE179285 (D) and GSE95095 (E).