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. 2021 May 19;11:10606. doi: 10.1038/s41598-021-89904-y

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© The Author(s) 2021

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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ROC curves of ASE prediction models. ROC curves to measure the performance of ASE prediction models on test sets with tenfold application for standard deviation. (A) shows the BIOS-trained model applied to 10% ‘leave out’ BIOS test sets. (B) shows the GTEx-trained model applied to 10% ‘leave out’ GTEx test sets. (C) shows the BIOS-trained model applied to the full GTEx set. (D) shows the GTEx-trained model applied to the full BIOS set. Plot was produced by Matplotlib⁶⁸ version 3.0.0 under Python⁶⁹ version 3.5.1.