Research Paper Volume 13, Issue 7 pp 10208—10224

One potential biomarker for teratozoospermia identified by in-depth integrative analysis of multiple microarray data

Weighted gene co-expression network analysis (WGCNA) of genes in teratozoospermia. (A) Analysis of the scale-free fit index for various soft thresholding powers (β) from the dataset GSE6872. (B) Analysis of the scale-free fit index for various soft thresholding powers (β) from the dataset GSE6967. (C) Heatmap plot of the adjacencies in the eigengene network from the dataset GSE6872. Each row and column in the heatmap corresponds to one module eigengene (labeled by color). In the heatmap, blue color represents low adjacency (negative correlation), while red represents high adjacency (positive correlation). Squares of red color along the diagonal are the meta-modules. (D) Heatmap plot of the adjacencies in the eigengene network from the dataset GSE6967. (E) Heat map plot shows the topological overlap matrix (TOM) among randomly selected 400 genes from the dataset GSE6872. Light color shows low overlap, and red color indicates higher overlap. The left side and the top side show the gene dendrogram and module assignment. (F) Heat map plot shows the topological overlap matrix (TOM) among randomly selected 400 genes from the dataset GSE6967.

Figure 2. Weighted gene co-expression network analysis (WGCNA) of genes in teratozoospermia. (A) Analysis of the scale-free fit index for various soft thresholding powers (β) from the dataset GSE6872. (B) Analysis of the scale-free fit index for various soft thresholding powers (β) from the dataset GSE6967. (C) Heatmap plot of the adjacencies in the eigengene network from the dataset GSE6872. Each row and column in the heatmap corresponds to one module eigengene (labeled by color). In the heatmap, blue color represents low adjacency (negative correlation), while red represents high adjacency (positive correlation). Squares of red color along the diagonal are the meta-modules. (D) Heatmap plot of the adjacencies in the eigengene network from the dataset GSE6967. (E) Heat map plot shows the topological overlap matrix (TOM) among randomly selected 400 genes from the dataset GSE6872. Light color shows low overlap, and red color indicates higher overlap. The left side and the top side show the gene dendrogram and module assignment. (F) Heat map plot shows the topological overlap matrix (TOM) among randomly selected 400 genes from the dataset GSE6967.