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. 2021 Jul 22;11:15036. doi: 10.1038/s41598-021-93762-z

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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 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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Regression coefficient in PLS-DA for Heart (a) and Kidney (b). Calculated response for heart (c) and kidney (d) using up to 5th and 2th component, respectively.Average PLS-DA Variable Importance in Projection (VIP) for those components with best classification performance for Heart (e) and Kidney (f).