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. 2023 Jul 5;13:1164739. doi: 10.3389/fonc.2023.1164739

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Copyright © 2023 Li, Wang, Zou, Cai, Li, Feng, Zhang, Sparrelid, Brismar and Ma

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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(A) Feature selection through the least absolute shrinkage and selection operator (LASSO) algorithm. (B) Heatmap of the correlation coefficient matrix of the selected 16 features through LASSO.