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. 2022 Oct 4;13:986995. doi: 10.3389/fgene.2022.986995

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Copyright © 2022 Li, Zhang, Dai and Chen.

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 m6A Regulator as biomarkers of hypertrophic cardiomyopathy. (A) Selection of significant m6A regulators by support vector machine recursive feature elimination (SVM-RFE) model. (B) Selection of significant m6A regulators by random forest (RF) model. (C) Venn diagram of five overlapped candidate genes shared by the SVM-RFE and RF algorithms. (D,E) Least absolute shrinkage and selection operator (LASSO) coefficient profiles of hub genes and cross-validation of the model. (F) receiver operating curves (ROC) of LASSO model in GSE36961. (G,H) ROC assessment and difference analysis (Wilcox rank sum test) of the candidate biomarkers using GSE36961. (I) Validation of the diagnostic value of candidate biomarkers using GSE130036. (J) The expressions of candidate diagnostic biomarkers in the GSE130036 dataset (Wilcox rank sum test). *p < 0.05, **p < 0.01, ***p < 0.001.