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. 2023 Dec 5;13:21454. doi: 10.1038/s41598-023-48830-x

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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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Model performance with testing data. After training, we evaluated the model with unseen testing patient cohort from Broad Institute of MIT (n = 812). The predicted scores for each sample were output by the trained model, and (a) the scatter plot showing the correlation between the EERES and the predicted ER activity score of ER + /HER2- patients is shown. The best-predicted score threshold was used to stratify patients as higher or lower predicted ER activity score groups and their (b) PFS is shown as Kaplan–Meier curves for the ER + /HER2- testing cohort. The ER + /HER2- patients with higher and lower predicted ER activity score were compared for their survival using Kaplan–Meier curve.