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. 2022 Jun 23;12:10658. doi: 10.1038/s41598-022-14724-7

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© The Author(s) 2022

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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Construction of an MRP-based nomogram. (A) Forest plot of univariate Cox regression analysis of MRP genes. (B) Least absolute shrinkage and selection operator (LASSO) coefficient profiles of the 7 MRPs determined by the optimal lambda. (C) Selection result of the optimal lambda in the model. The partial likelihood deviance (binomial deviance) curve was drawn versus log(λ), and vertical dotted lines were made at the optimal values.