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. 2022 Apr 15;12:6283. doi: 10.1038/s41598-022-10182-3

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© The Author(s) 2022

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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MAP model. (a) Top 30 important features of the MAPpairs model. The mean decrease in accuracy (left) is a measure of how much influence a feature has in improving classification accuracy. The mean decrease in Gini (right) is a measure of how impurity can be reduced by features used when separating nodes. (b) A scatter plot and histogram of the gene pairs. The relationship between the expression of two genes in the MSI and MSS groups can be confirmed through a scatter plot, and the expression value of each gene can be confirmed through the density plots at the upper and lower right corners. MLH1-related rules and TFGBR2/TYMS rule are shown. (c) Top 20 important features (signatures) of the MAPsig model. (d) Performance (accuracy, sensitive, specificity, and F1) of the MAP model. (e) Confusion matrices of the validation dataset. The actual MSI means MSI status provided in the dataset study. The red color-scale reflects percentages of class predictions against the actual class.