The Identification of Childhood Asthma Progression-Related lncRNAs and mRNAs Suitable as Biomarkers Using Weighted Gene Coexpression Network Analysis

Figure 2

Screen of significantly stable modules related to asthma in children by weighted gene coexpression network analysis (WGCNA). (a) The correlation of gene expression levels (left) and network connections (right) between the training set (GSE65204) and the validation set (GSE19187). (b) Left: adjacency matrix weight parameter power selection graph. The red line represents the standard line where the square value of the correlation coefficient reaches 0.9. Right: schematic diagram of the average connectivity of DE-mRNAs under different power parameters. The red line represents the value of the average degree of the coexpression network (=1) under the value of the weight parameter power of the adjacency matrix in the left. (c) The module classification trees of genes in GSE65204 (above) and GSE19187 (below). Each color represents a different module. (d) The heat map of correlations between clinical information of samples and each module obtained from the training set.

(a)

(b)

(c)

(d)