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. 2022 Feb 22;14:19. doi: 10.1186/s13073-022-01023-z

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© The Author(s) 2022

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. 2 — DevKidCC accurately classifies human fetal kidney data. A Probability score distributions for the tier 1 classifier for both human fetal kidney (left) and organoid (right) data, grouped by tier 1 classification. B Mean number of cells expressing shown genes, grouped by HFK NPCs, organoid NPCs, organoid NPC-like and organoid unassigned populations. C Probability score distribution for the tier 2 stroma classifier on all organoids. D Probability score distribution for the tier 2 UrEp classifier on all organoids. E Probability score distribution for the tier 2 and 3 nephron lineage classifiers on all organoids