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. 2023 Apr 1;14:1836. doi: 10.1038/s41467-023-37478-w

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© The Author(s) 2023, corrected publication 2024

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. 1 — a The datasets, DR methods, validation metrics, and deliverables of this study. b Synopsis of the real CyTOF datasets used for evaluation in this study. Elements in this panel were created with BioRender.com. c The simulation algorithm for CyTOF data. d Diagrams explaining several of the most important validation metrics in the accuracy category. Elements in this panel were created with BioRender.com. e Deliverables of this study, including, a complete set of guidelines for choosing DR methods based on data characteristics and user preferences (CyTOF DR Playground), our streamlined pipeline for implementation of the DR methods and evaluation metrics (CyTOF DR Package), and the Cytomulate tool. f A complete set of guidelines for users of DR methods to choose the best method for their CyTOF data. Elements in this panel were created with BioRender.com. The R logo was licensed under CC-BY-SA 4.0 by The R Foundation (https://www.r-project.org/logo/).