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. 2023 Jan 30;14:1062590. doi: 10.3389/fimmu.2023.1062590

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Copyright © 2023 Gao, Guo, Wang, Liu and Wang

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 potential shared diagnostic genes by the LASSO regression model. (A) Tenfold cross-validation to select the optimal tuning parameter log (lambda) in the GSE16134 database. (B) Tenfold cross-validation to select the optimal tuning parameter log (lambda) in the GSE93798 database. (C) LASSO coefficient profiles of diagnostic genes in the GSE16134 database. (D) LASSO coefficient profiles of diagnostic genes in the GSE93798 database. (E) Venn diagram showing the optimal diagnostic biomarkers.