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. 2021 Jul 26;5:72. doi: 10.1038/s41698-021-00205-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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — a Unsupervised clustering of patients with gliomas is shown on the x-axis, and radiomic features selected by LASSO for prediction of IDH mutation, 1p/19q codeletion, and TERT promoter mutation status are shown on the y-axis, revealing clusters of patients with similar radiomic expression patterns. b Correspondence of radiomic feature groups with the clustered expression patterns.