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. 2023 Aug 14;23:752. doi: 10.1186/s12885-023-11246-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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 2 — Identification of necroptosis-related lncRNAs in patients with melanoma. (A) The co-expression network between necroptosis-related genes and lncRNAs (correlation coefficients > 0.4 and p < 0.001). Orange nodes represent necroptosis-related genes, and the sky blue nodes represent their associated lncRNAs. (B) Cross-validation for tuning the parameter in the LASSO regression, the vertical dashed lines indicate are at the optimal log (lambda) value. (C) The Sankey diagrams were generated to visualize association networks between prognostic lncRNAs, necroptosis-related genes and regulate status (positive/negative). (D)The correlation network of prognostic necroptosis-related lncRNAs and associated mRNAs (risk / protect)