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. 2023 Mar 29;3:44. doi: 10.1038/s43856-023-00276-y

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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 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 Adult brain tumor The Cancer Genome Atlas (TCGA) cohort (N = 783) consisting of both low-grade glioma (LGG) (N = 426) and glioblastoma (GBM) (357) samples. For the LGG samples, both histopathology images and RNA-sequencing data were available. While histopathology images were available for all GBM samples, 158 of these had RNA-sequencing, and 199 microarray expression data. b Adult Clinical Proteomic Tumor Analysis Consortium (CPTAC)-GBM cohort with histopathology and RNA-sequencing data (N = 97). c Pediatric Brain Tumor Atlas (PBTA) Kids First cohort (N = 305). This cohorts consists of four tumor subtypes: LGG and high-grade (HG) astrocytoma (combined in one Glioma group, N = 198), ependymoma (N = 47), and Medulloblastoma (N = 60). Both histopathology images and RNA-sequencing data were available for all samples of this pediatric cohort.