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. 2021 Jan 25;7:23. doi: 10.1038/s41420-020-00383-y

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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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Fig. 2 — a Unsupervised single-cell population identification using ICGS algorithm conducted on 284 single cells derived from KTN615 pre (blue color legend) and 227 single cells derived from the same patient (KTN615) mid (red color legend) neoadjuvant treatment who exhibited persistence phenotype. b Uniform manifold approximation and projection (UMAP) dimensionality reduction analysis of 284 single cells derived from KTN615 pre (blue color legend) and 227 single cells derived from the same patient (KTN615) mid (red color legend) neoadjuvant treatment who exhibited persistence phenotype.