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. 2023 Aug 16;14:4947. doi: 10.1038/s41467-023-40611-4

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© The Author(s) 2023

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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Fig. 1 — Cellformer was fed data from comorbidity-free bulk samples from individuals with clinicopathologic characterization as normal control (NC), Resilient to Alzheimer’s disease (RAD), and Alzheimer’s disease dementia (ADD). Three brain regions were used per individual to gain insight into the regional and cellular epigenetic profile of RAD. Cellformer generated cell type-specific expression for 6 main cell types across the whole genome, leading to an unprecedented chromatin profiling of RAD (Created with Biorender.com).