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. 2021 Dec 24;11:24413. doi: 10.1038/s41598-021-03993-3

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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 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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Hierarchically clustered correlation heatmap and principal component analysis (PCA) for the brain dataset (GSE53987) are shown in (a) and (b), and for the lymphoblast dataset (GSE73129) are depicted in (c) and (d), respectively. Each column in the heatmap represents one sample and shows the correlation to all samples (including itself), with red for correlation = 1 and blue for the lowest observed correlation. All SCZ and CTL samples correlated well with each other, except one SCZ sample from the GSE53987 study marked by an asterisk (*). In PCA, all samples are segregated by condition group (on PC1). GSM1305052 (a patient striatum sample) was removed from further analysis in order to its wrong spatial enrichment. This figure was made using R version 4.0.3 (https://www.r-project.org/). CTL, control; SCZ, schizophrenia.