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. 2022 Dec 12;23:536. doi: 10.1186/s12859-022-05085-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 — Clustering accuracy benchmarks on gold-standard datasets with < 10,000 cells. Boxplots show the ARI distribution across 25 realizations of each algorithm. Numbers in parentheses denote the cell count in the specified dataset. The performance of the original SC3 is shown in blue. Leiden refers to the algorithm of the same name as implemented in Scanpy. Seurat refers to its SNN modularity optimization clustering algorithm. ARI: Adjusted Rand index (ARI)