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. 2023 Jul 3;14:1177968. doi: 10.3389/fimmu.2023.1177968

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Copyright © 2023 Tao, He, Li, Li, Liao, Nie and Gao

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 NETs related genes (NRGs). (A, B) Biomarker signature gene expression validation by support vector machine recursive feature elimination (SVM–RFE) algorithm selection. (C) Random Forest error rate versus the number of classification trees. (D) The top 20 relatively important genes. (E, F) Adjustment of feature selection in the minimum absolute shrinkage and selection operator model (lasso). (G) Venn diagram of three machine learning algorithms. NRGs: Neutrophil extracellular traps related genes.