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. 2022 Nov 23;14:1056312. doi: 10.3389/fnagi.2022.1056312

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Copyright © 2022 He, Cong, Liang, Ma, Tian, Li and Wu.

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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The identification of 10 Hub genes. (A) The LASSO logistic regression algorithm identified 43 AD-related features with a 10-fold cross-validation set for selecting the penalty parameter to determine the optimal lambda value. (B) A total of 13 feature genes were filtered out using the mSVM-RFE algorithm. (C) Venn diagram of genes extracted from LASSO and mSVM-RFE methods. (D) Heatmap of correlations for Hub genes. Positive correlations are marked in red and negative correlations are marked in blue. The numbers in the middle represent correlation coefficients. (E) Map of the location of the Hub gene on the chromosome. LASSO, least absolute shrinkage and selection operator; SVM, support vector machine; RFE, recursive feature elimination.