A simulated single-cell marker-gene expression dataset with 104 rows
covering eight immune cell types and thirteen canonical marker genes.
Each cell type strongly expresses its own marker genes (high average
expression and percent expressed) and weakly expresses the rest, making it
a realistic example for plotthis_DotPlotApp() where dot size encodes the
percent of cells expressing a gene and dot fill encodes average expression.
Format
A data frame with 104 rows and 4 columns:
- cell_type
Immune cell type (factor: CD4 T, CD8 T, B, NK, Monocyte, Dendritic, Plasma, Platelet)
- gene
Marker gene symbol (factor with 13 levels, e.g. CD3D, MS4A1, NKG7, LYZ, MZB1, PPBP)
- avg_expression
Average expression of the gene in the cell type
- pct_expressed
Percent of cells in the cell type expressing the gene