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. 2022 Sep 14;8:40. doi: 10.1038/s41526-022-00225-4

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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 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. 3 — A Scatterplot of all genes detected in high-ICP CSF from patients and normal-ICP CSF samples from a biobank. Genes that are significantly higher (p-adj. (Benjamini-Hochberg) < 0.05) in high-ICP patients are shown in red and genes that are significantly higher in normal-ICP samples (p-adj. (Benjamini-Hochberg) < 0.05) are shown in blue. B PCA of high-ICP (represented in teal) and normal-ICP CSF samples (represented in salmon). C Gene ontology (GO) analysis for genes that are enriched in normal-ICP CSF samples relative to high-ICP patient CSF showing the top 15 enriched GO terms and their relative significance by depth of color. Enrichment is shown on the x axis, and false discovery rate (FDR) on the y axis.