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. 2020 Nov 26;11:6010. doi: 10.1038/s41467-020-19784-9

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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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Fig. 4 — a Significantly different pubertal development scores (PDS) between n = 334 boys and n = 340 girls (p < 0.0001 two-tailed two-sample t-test). Boxplots are characterized by minimum, first quartile, median, third quartile, and maximum. b, c Sex-prediction scores measured on all subjects and the c-independent subset containing n = 200 boys and n = 200 girls. d, e t-SNE visualization of the feature space learned by the deep-learning models. f, g Saliency maps of sex differences.