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. 2023 Sep 12;14:5618. doi: 10.1038/s41467-023-41437-w

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© The Author(s) 2023

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 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/.

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Fig. 2 — a Spatial regions of ground truth and those detected by different methods, including SiGra, BayesSpace, and Seurat. b Boxplot of the adjusted Rand index (ARI) scores of six methods in all 20 FOVs of lung cancer tissue. In the boxplot, the centreline, box limits and whiskers denote the median, upper and lower quartiles, and 1.5× interquartile range, respectively. Source data are provided as a Source Data file. c Spatial regions of two FOVs detected by different methods, including SiGra, BayesSpace, and Seurat.