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. 2020 Dec 22;11:6433. doi: 10.1038/s41467-020-20173-5

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© The Author(s) 2020

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. 4 — a Heatmap depicting Spearman correlation of coefficient between mutation signatures in MyBrCa or TCGA Caucasian samples versus immune scores. b Bar plots depicting P values from one-sided Wilcoxon’s test of the top versus bottom quartile MyBrCa samples, ranked according to ESTIMATE scores. c Comparison of ESTIMATE immune scores to the tumour heterogeneity of each MyBrCa sample, quantified as the log₂ of the number of clusters predicted by PyClone analysis. Samples were stratified into 20 groups according to ESTIMATE immune score. P value shown is for Spearman’s correlation coefficient.