Fig. 6
- ID
- ZDB-FIG-230122-25
- Publication
- Ahmed et al., 2023 - Network-based identification and prioritization of key transcriptional factors of diabetic kidney disease
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Overall network model using the most significant MI scores visualized by means of a force-directed layout, revealing several clusters in the network. The most prominent biological functions were used to annotate the clusters. Nodes in the network represent the genes, and edges (lines) represent the correlations, measured as mutual information values. Each node border color represents the fold-change in the gene expression in DN conditions. The node size represents the connection to other genes (hubs), and the thickness of the edges represents the strength of the association between genes. |