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. 2023 Feb 28;24:37. doi: 10.1186/s13059-023-02857-5

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© The Author(s) 2023

Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 5 — Accuracy of detecting csDM in human brain methylation data. The human brain DNA methylation dataset (GEO accession number: GSE41826) contains both bulk samples from postmortem frontal cortex and matched cell type samples of neuron and glia purified by fluorescence-activated cell sorting (FACS). The csDM sites associated with sex were identified between five healthy male and five healthy female samples with TOAST, TCA, csSAM, CellDMC, and CeDAR-S. The results are evaluated by the true discovery rate (TDR) curves, which show the accuracy among different numbers of top-ranked csDM sites from each method.