BioMed Research International / 2020 / Article / Fig 2

Research Article

Establishment and Analysis of a Combined Diagnostic Model of Polycystic Ovary Syndrome with Random Forest and Artificial Neural Network

Figure 2

Analyses of DEGs in GSE6798 dataset (skeletal muscle, ). (a) Volcano plot of differential gene expression with log (foldchange) as the abscissa and -log10 ( value) as the ordinate. Blue and red splashes represent the genes that were significantly up- or downregulated in PCOS, respectively. Green splashes mean genes without significantly different expression. , |logFC| >0.26. (b) Volcano plot of gene average expression level. The x-axis represents the average expression levels of genes in all samples. The y-axis indicates logFC. The red spots are DEGs with , the green spots, DEGs with ; and the black spots, stable genes (). (c) Heatmap of the 264 DEGs in GSE6798 dataset. Each row represents a sample and each column represents a gene. Red color means a higher expression level; blue color means a lower expression level.

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