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. 2022 Aug 19;13:970269. doi: 10.3389/fendo.2022.970269

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Copyright © 2022 Li, Luo, Wang, Zeng, Feng and Che

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Genomic variation landscape of CRGs-related deep learning models. (A) Box plot showing the difference in TMB among the two risk groups. (B) Oncoplot of significantly mutated genes between the two risk groups. (C) The loop diagram shows the CNV landscape in the high-risk group. (D) The loop diagram shows the CNV landscape in the low-risk group. (E) Box plots represent the variation in chromosome amplification numbers in the high-risk and low-risk groups. (F) Box plots display the variation in the number of chromosome deletions among the two risk groups. *P < 0.05.