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. 2020 Nov 20;10:590861. doi: 10.3389/fonc.2020.590861

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Copyright © 2020 Zhuo, Chen, Yang, Zhang, Tang and Yang

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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Identification of a 25-gene risk signature for overall survival by LASSO regression analysis in CGGA cohort. (A) Cross-validation for tuning parameter selection in the proportional hazards model. (B) LASSO coefficient spectrum of 25 genes in gliomas. (C) Heatmap shows the association of risk and clinic pathological features based on the 25-gene risk signature. LASSO, least absolute shrinkage and selection operator.