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. 2017 May 10;7:1653. doi: 10.1038/s41598-017-01966-z

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© The Author(s) 2017

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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AI at missense mutations. (a) Barplots show the relative proportion of sig-pos-AFD (blue), sig-neg-AFD (red), and the other mutations (gray) for missense mutations across five tumor types. The proportion was calculated for events in copy number neutral segments. (b) The mutation spectra are shown for the sig-pos-AFD, sig-neg-AFD and the other mutations. P value was calculated by Chi-square test. (c) The proportion of the transversion and transition mutations are shown for sig-pos-AFD, sig-neg-AFD and the others. P value was calculated by Chi-square test. (d) Significance level of genes are shown for the enrichment of sig-pos-AFD missense mutations in BRCA. Y-axis is -log P value (Fisher’s exact test). Genes with -log P value > 2.5 are shown. Similarly shown for HNSC (e), LUAD (f) and STAD (g). KIRC has no genes to be plotted by the criterion.