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. 2022 Mar 21;12:4797. doi: 10.1038/s41598-022-08840-7

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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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Multi-Omics integration via rdCV-RF and DIABLO mixOmics analysis. A rdCV-RF analysis displayed as swim lane plot. Each swim lane displays one sample. Circled points indicate misclassified components. Each component was assessed by 200 double cross-validations to analyze class probabilities. B Component correlation of each of the three datasets determined by DIABLO analysis, which maximized the correlated information. C Variable correlation displayed in Circos plot with correlation cut-off of 0.95. Two separate pathways were identified. Positive correlation (brown), negative correlation (black).