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. 2019 Dec 23;20:297. doi: 10.1186/s13059-019-1917-7

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© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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.

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Fig. 2 — Stability of each tool. a Left: schematic diagram showing how coefficients of variation (CVs) were calculated and integrated; right: distribution of CVs for external evaluations for each tool. The red solid line represents median CV for LDA, which is the smallest median CV. b Same as a, but shows distribution of relative difference (RD) between 20,000 cell and 40,000 cell subsampling tests. The red solid line marks RD = 0, which means that there is no difference in performance between 20,000 cell and 40,000 cell subsampling tests. c Precision of FlowSOM on Levine32dim and colon datasets changed as sample size changed. d Same as c, but for Xshift