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. 2021 Jul 1;11:13704. doi: 10.1038/s41598-021-93085-z

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© The Author(s) 2021

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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Slightly down-regulated oxidative phosphorylation genes predict AD. (A) to (M) The decision trees from the random forest model containing NDUFA1, NDUFA4, NDUFA6, NDUFA12, NDUFB1, NDUFB2, NDUFB9, NDUFV1, NDUFV2, UQCRFS1, ATP5F1C, and ATP5MC1. The prediction outcome is denoted by 0 and 1, where 1 = AD, and 0 = Non-AD. The sample size is denoted by the thickness of the bar, while the sample type is denoted by blue or red, where blue bar = AD, and red bar = Non-AD.