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. 2023 Jan 4;13:993509. doi: 10.3389/fgene.2022.993509

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Copyright © 2023 Xu, Wang and Yin.

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 construction of WGCNA network, LASSO regression analysis and venngram of final hub genes. (A) Clustering dendrogram of samples in the dataset GSE104580. (B) Clustering dendrogram of 66 TACE-Nonresponders and 81 TACE-Responders samples. (C) Analysis of network topology for various soft-thresholding powers. (D) Clustering dendrogram of mRNAs, with dissimilarity based on topological overlap, together with assigned module colors. (E) The heatmap to show the correlation between module eigengenes and patient response (TACE-Nonresponse and TACE-Response). (F,G) The scatter plots of module eigengenes in turquoise module and yellow module. (H) The LASSO coefficient profiles of genes, (I) The feature selection by LASSO analysis. The X-axis shows Log (λ), and the Y-axis shows the binomial deviance, (J) The venngram of final hub genes.