Figure 1
From: Identification of the molecular subtypes and construction of risk models in neuroblastoma
Identification and functional analysis of IRCCGs. (A) The results of the t-SNE algorithm show heterogeneity in the patients. (B) Analysis of network topology for various soft-thresholding powers. The left panel shows the scale-free fit index as a function of the soft-thresholding power. The right panel displays the mean connectivity as a function of the soft-thresholding power. Based on the scale-free fit index greater than 0.9, we chose 4 as the soft thresholding power. (C) At the top is Clustering dendrogram of genes with assigned module colors. At the bottom is Module-trait associations. Each cell contains the corresponding correlation and P value. The darker the color of the cell, the higher the correlation. (D) Results of KEGG enrichment. The numbers in the graph indicated the counts of the pathway. (E) Results of Biological Process enrichment. The line between dots indicated the presence of identical genes between pathways. (F) The top 5 pathways of Cellular Component enrichment was demonstrated. The length of the yellow bar indicated the number of pathway genes. The height of the blue bar indicated the number of intersecting genes. (G) The first 5 enriched to Molecular Function terms and the genes in the terms. (H,I) Principal component analysis (PCA) of the gene expression in datasets. The visualization of patients by scatter plots were based on the top two Dims of gene expression profiles with the removal of batch effect.
