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. 2023 Feb 18;16:26. doi: 10.1186/s12920-023-01446-6

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© The Author(s) 2023

Open AccessThis 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 — RPP25L feature selection and correlation analysis (A) Venn diagram of the top genes selected by association type (Chi squared, Spearman’s, and Pearson’s) for RPP25L. B Scatter plot showing a weak correlation between the (log₂-transformed) gene expression levels of RPP25 (X-axis) and RPP25L (Y-axis) across cell lines. C Strong non-linear monotonic correlation between the expression of RPP25 (X-axis) and the essentiality Achilles score of RPP25L (Y-axis) across cell lines