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. 2023 Aug 3;13:1244578. doi: 10.3389/fonc.2023.1244578

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Copyright © 2023 Chi, Chen, Wang, Zhang, Jiang, Zhang, Jiang, Huang, Quan, Liu, Zhang 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 serum miRNAs associated with pancreatic cancer. (A, B) SVM-REF algorithm used for PCRSMs selection, with numbers indicating the optimal selection of 19. (C) Ten-fold cross-validation of adjusted parameters selected by the LASSO model, with each line representing an miRNA. (D) LASSO coefficient analysis, with the vertical dashed line representing the optimal λ. (E) Relationship between the number of trees and error rate in the random forest. (F) Relative importance ranking of genes. (G) Venn diagram showing the intersection of PCRSMs selected by SVM-REF algorithm, LASSO, and random forest.