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. 2021 May 29;12:306. doi: 10.1186/s13287-021-02354-1

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© The Author(s) 2021

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 — Cell identity replicability analysis identifies similarity between cultured menstrual and secretory ePCs. a Heat map of the Pearson correlation coefficient between sub-clusters from menstrual and secretory. All the values were scaled. sec., secretory; men., menstrual. Pearson correlation coefficient of each comparison: men.C0-sec.C0: 0.91; men.C0-sec.C1: 0.86; men.C0-sec.C2: 0.94; men.C1-sec.C0: 0.88; men.C1-sec.C1: 0.95; men.C1-sec.C2: 0.95. b Heatmap of the mean AUROC (area under the receiver operator characteristic curve) scores for identified sub-clusters between menstrual and secretory ePCs. AUROC scores of each comparison: men.C0-sec.C0: 0.65; men.C0-sec.C1: 0.27; men.C0-sec.C2: 0.74; men.C1-sec.C0: 0.18; men.C1-sec.C1: 0.89; men.C1-sec.C2: 0.43