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Fig. 1 | BMC Medical Genomics

Fig. 1

From: Exploring the biological function of immune cell-related genes in human immunodeficiency virus (HIV)-1 infection based on weighted gene co-expression network analysis (WGCNA)

Fig. 1

Screening of highly related modules. A The clustering dendrogram of HIV-1± samples to detect outliers. B Cluster tree of 10 HIV-1− and 30 HIV-1+ samples in the GSE6740 dataset. The color band underneath the tree indicates the numeric values of the tissue traits. C The scale-free fit index for soft-thresholding powers. The soft-thresholding power in the WGCNA was determined based on a scale-free R2 (R2 = 0.85). The left panel shows the scale-free fit index (y-axis) as a function of the soft-thresholding power (x-axis). The right panel displays the mean connectivity (degree, y-axis) as a function of the soft-thresholding power (x-axis). D Dendrogram of all genes clustered based on the measurement of dissimilarity. E A heatmap showing the correlation between the gene module and clinical traits: Each row corresponds to a module eigengene and each column to a trait. Each cell contains the corresponding correlation and p-value. The table is color-coded by correlation according to the color legend, which decreased in size from red to blue. F Scatter plot of module eigengenes related to HIV-1+ in the darkgreen module

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