Extended Data Fig. 3: Comparison of cell-type specific TRNs. | Nature Machine Intelligence

Extended Data Fig. 3: Comparison of cell-type specific TRNs.

From: Inferring transcription factor regulatory networks from single-cell ATAC-seq data based on graph neural networks

Extended Data Fig. 3

(a). Each bar plot showing the distribution of TFs with different degree level, background color indicates TFs of (yellow) high degree or (blue) low degree. (b). 32 TFs with cell-type specific regulatory networks. For each TF, its degree in four cell type are listed. (c). Visualization of GATA3 regulatory networks predicted by DeepTFni. DeepTFni shows distinct cell-type specificity in CD14 + monocytes. (d). UMAP visualization of human PBMC scRNA-seq clusters. (left) Colors represent the different cell types. (right) Colors represent the cells with GATA3 expressed (purple) or with GATA3 silent (grey). The number indicates the proportion of cells with GATA3 expressed in each cell type. (e). Visualization of GATA3 regulatory networks predicted by SCENIC.

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