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. 2023 Jul 27;55(8):1301–1310. doi: 10.1038/s41588-023-01446-3

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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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Extended Data Fig. 2 — a, Single molecule mutation frequencies in Pan-Cancer Analysis of Whole Genomes (PCAWG) lung cancers (n = 31) and blood derived matched normal samples (n = 31). Adjusted p-values (p_adj) were generated using the two-sided Wilcoxon rank sum test and were corrected for multiple comparisons using the Benjamini-Hochberg method. The horizontal dashed line indicates a p-value of 0.05. b, Cross-validated regional differences in single molecule mutation frequencies in PCAWG lung cancers (n = 31) and blood derived matched normal samples (n = 31), median-centered within each mutation type. Adjusted p-values were generated using the two-sided Wilcoxon rank sum test and were corrected for multiple comparisons using the Benjamini-Hochberg method. The horizontal dashed line indicates a p-value of 0.05. All boxplots represent the interquartile range with whiskers drawn to the highest value within the upper and lower fences (upper fence = 0.75 quantile + 1.5 × interquartile range; lower fence = 0.25 quantile – 1.5 × interquartile range). The solid middle line in the boxplot corresponds to the median value.