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Fig. 3 | Genome Biology

Fig. 3

From: Integrative analyses of single-cell transcriptome and regulome using MAESTRO

Fig. 3

Clustering, cell-type, and transcriptional regulator annotation using MAESTRO. a UMAP visualization of human PBMC scRNA-seq (12k cells) clusters. Colors represent the different clusters with the cluster ID labeled. b UMAP visualization of human PBMC scATAC-seq (10k cells) clusters. Colors represent the different clusters with cluster ID labeled. c UMAP visualization of human PBMC scRNA-seq (12k cells) clusters. Colors represent the different cell types. The cell-type information for each cluster is annotated using the expression level of marker genes. d UMAP visualization of human PBMC scATAC-seq (10k cells) clusters. Colors represent the different cell types. The cell-type information for each cluster is annotated using the regulatory potential of marker genes. e The rank of driver transcription regulators in the CD14 monocyte cells of PBMC scRNA-seq (12k cells). The regulators are ranked by the TF enrichment score from LISA results in cluster-specific genes, and the color of the circles represents the averaged expression level of corresponding regulators in CD14 monocyte cells. The names of the top 10 TFs are labeled on the graph. f The rank of driver transcription regulators in the CD14 monocyte cells of PBMC scATAC-seq (10k cells). The regulators are ranked by the TF enrichment score from GIGGLE results in cluster-specific peaks, and the color of the circles represents the averaged regulatory potential of corresponding regulators in CD14 monocyte cells. The names of the top 10 TFs are labeled on the graph

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