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. 2020 Feb 7;10:2153. doi: 10.1038/s41598-020-59119-8

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© The Author(s) 2020

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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Comparison of training and validation sets. (a) Heatmap of GESTALT variant read counts. Asterisk indicates the unedited GESTALT allele. (b) Sharing factor curves for all GESTALT variants, all edited GESTALT variants and at indicated values of θ_V. (c) Mean Φ plotted versus mean Sharing Factor at indicated values of θ_V. (d) Z-score product plotted at indicated values of θ_V. (e) Bootstrap analysis of the validation set with estimate and lower bound of the 95% confidence interval. (f) Histogram showing samples with a high and low fraction of informative reads. (g) Sharing Factor curves at the algorithmically selected final value of θ_V. (h) Number of GESTALT HSC clones with VAF > 0.02 in the training and validation sets. Boxes show mean and standard deviation.