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. 2019 Dec 20;12:316. doi: 10.3389/fnmol.2019.00316

FIGURE 5.

FIGURE 5

Gene regulatory network inference with SCENIC reveals cell type-specific SCENIC regulons in both scRNA-Seq and snRNA-Seq datasets. (A) Unbiased clustering in Seurat (left panel) is similar to regulon-based clustering in SCENIC (right panel) for the scRNA-Seq dataset, resulting in the identification of the same cell type-specific clusters. (B) Unbiased clustering in Seurat (left panel) is similar to regulon-based clustering in SCENIC (right panel) for the snRNA-Seq dataset, resulting in the identification of the same cell type-specific clusters. (C) Regulon heatmaps display cell type-specific regulons identified from both the scRNA-Seq (left panel) and snRNA-Seq (right panel) datasets. Cells grouped by cell type are displayed along the horizontal axis and regulons organized by hierarchical clustering are displayed along the vertical axis. Esrrb (pink box) and Bmyc (green box) regulons are demarcated in both datasets (regulon labels to right of heatmap. Legend demonstrating the binarized regulon activity score (scaled as 0 or 1) is shown to right of both heatmaps.