Identification of Key Genes and Underlying Mechanisms in Acute Kawasaki Disease Based on Bioinformatics Analysis

Side Gao; Wenjian Ma; Xuze Lin; Sizhuang Huang; Mengyue Yu

doi:10.12659/MSM.930547

22 July 2021 : Database Analysis

Identification of Key Genes and Underlying Mechanisms in Acute Kawasaki Disease Based on Bioinformatics Analysis

Side Gao^1BCDEF, Wenjian Ma^1BCD, Xuze Lin^1BCD, Sizhuang Huang^1BC, Mengyue Yu^1AG*

DOI: 10.12659/MSM.930547

Med Sci Monit 2021; 27:e930547

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Figure 2 Volcano plots showing the DEGs in each GSE dataset. The x-axis was log2 (foldchange) and y-axis was −log10 (P value) in volcano plots. The red dots indicate upregulated genes, and green dots indicate downregulated genes.

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Identification of Key Genes and Underlying Mechanisms in Acute Kawasaki Disease Based on Bioinformatics Analysis

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