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. 2021 Oct 6;598(7879):129–136. doi: 10.1038/s41586-021-03604-1

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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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Extended Data Fig. 10 — a, Heat map showing the similarity between A-type (accessibility) and T-type (transcriptomics) based cell cluster annotations. Each row represents an A-type cluster (a total of 160) and each column represents a T-type cluster (a total of 100). Similarity between original clusters and the joint cluster was calculated as the overlap score, which defined as the sum of minimal proportion of cells/nuclei in each cluster that overlapped within each co-embedding cluster. The overlap score varied from 0 to 1 and was plotted on the heatmap. Joint clusters with an overlap score of >0.5 are highlighted using black dashed line and labelled with RNA–ATAC joint cluster ID. For a full list of cell type labels and descriptions see Supplementary Table 4. b, c, Bar plots indicating the number of clusters that matched (dark grey) or did not match (light grey) clusters from the other modality. b, 155 out of 160 A-types had a matching T-type cluster. c, 84 out of 100 T-types had a matching A-type cluster.