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Identification of gene modules related to pyroptosis via comprehensive analysis of PPI network and WGCNA. A PPI network was constructed using the STRING database. B PPI network was visualized using Cytoscape software and the relevance level were ranked in different colors. C Twenty-one hub genes and their connections were identified via the <t>MCODE</t> algorithm. D Determination of WGCNA soft threshold. E Gene clustering tree (dendrogram) was obtained by hierarchical clustering of adjacency-based dissimilarity. F The correlation heatmap of gene modules and phenotypes. G The venn diagram showed the genes shared by PPI hub genes and the WGCNA magenta module
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Identification of gene modules related to pyroptosis via comprehensive analysis of PPI network and WGCNA. A PPI network was constructed using the STRING database. B PPI network was visualized using Cytoscape software and the relevance level were ranked in different colors. C Twenty-one hub genes and their connections were identified via the <t>MCODE</t> algorithm. D Determination of WGCNA soft threshold. E Gene clustering tree (dendrogram) was obtained by hierarchical clustering of adjacency-based dissimilarity. F The correlation heatmap of gene modules and phenotypes. G The venn diagram showed the genes shared by PPI hub genes and the WGCNA magenta module
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Identification of gene modules related to pyroptosis via comprehensive analysis of PPI network and WGCNA. A PPI network was constructed using the STRING database. B PPI network was visualized using Cytoscape software and the relevance level were ranked in different colors. C Twenty-one hub genes and their connections were identified via the MCODE algorithm. D Determination of WGCNA soft threshold. E Gene clustering tree (dendrogram) was obtained by hierarchical clustering of adjacency-based dissimilarity. F The correlation heatmap of gene modules and phenotypes. G The venn diagram showed the genes shared by PPI hub genes and the WGCNA magenta module

Journal: Journal of Translational Medicine

Article Title: Transcriptome profile and immune infiltrated landscape revealed a novel role of γδT cells in mediating pyroptosis in celiac disease

doi: 10.1186/s12967-023-04359-1

Figure Lengend Snippet: Identification of gene modules related to pyroptosis via comprehensive analysis of PPI network and WGCNA. A PPI network was constructed using the STRING database. B PPI network was visualized using Cytoscape software and the relevance level were ranked in different colors. C Twenty-one hub genes and their connections were identified via the MCODE algorithm. D Determination of WGCNA soft threshold. E Gene clustering tree (dendrogram) was obtained by hierarchical clustering of adjacency-based dissimilarity. F The correlation heatmap of gene modules and phenotypes. G The venn diagram showed the genes shared by PPI hub genes and the WGCNA magenta module

Article Snippet: Furthermore, we used the MCODE plugin app ( https://sourceforge.net/projects/mcode/ ) within Cytoscape to identify hub genes and calculate the degrees of interaction between DEGs to visualize the ranking.

Techniques: Construct, Software