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. 2025 Jul 28;11(8):1628–1641. doi: 10.1038/s41477-025-02049-y

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© The Author(s) 2025

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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Extended Data Fig. 7 — Receiver Operating Characteristic (ROC) curves comparing the predictive performance of two modeling approaches for flg22–FLS2 interactions, using ipTM_flg22-FLS2: Full complex modeling (FLS2-flg22-SERK3, purple) and binary FLS2-flg22 modeling (teal). The dashed gray diagonal represents random predictions. The area under each ROC curve (AUC) is shown in the legend.