Figure 4 | Scientific Reports

Figure 4

From: Integrated multiple microarray studies by robust rank aggregation to identify immune-associated biomarkers in Crohn's disease based on three machine learning methods

Figure 4

Visualization and module identification of the PPI network. (A) A total of 203 DEGs were mapped using Cytoscape software. Two PPI network modules were identified using the MCODE plug-in. (B) Module 1 comprised MMP9, CCL2, SERPINE1, MMP10, PLAU, MMP7, CCL25, MMP12, CD274, CHI3L1, LCN2, SPP1, MMP1, SELE, MMP3, CXCL5, CXCL6, CXCL9, CCL20, CXCL2, CXCL1, CXCL10, IL6, CXCL8, and IL1RN, with the seed gene IL1β. (C) Module 2 comprised S100A9, NCF2, FPR1, MNDA, AQP9, S100A12, VNN2, and S100A8, with the seed gene CSF3R. In functional enrichment analyses of the genes in module 1 (D) and module 2 (E), the red points represent upregulated genes, and the blue points represent downregulated genes.

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