Plots the expression level (module eigengene) of each co-expression module for different groups as a radar plot.
Usage
ModuleRadarPlot(
seurat_obj,
group.by = NULL,
barcodes = NULL,
combine = TRUE,
ncol = 4,
wgcna_name = NULL,
fill = TRUE,
draw.points = FALSE,
...
)Arguments
- seurat_obj
A Seurat object
- group.by
the column name of the selected comparison in the DMEs dataframe
- barcodes
A list of barcodes from colnames(seurat_obj) which will be used to subset the data before plotting.
- combine
logical indicating whether or not to combine plots using patchwork
- ncol
The number of columns for the combined plot if patchwork is being used
- wgcna_name
The name of the hdWGCNA experiment in the seurat_obj@misc slot
- ...
additional parameters for ggradar
Details
ModuleRadarPlot visualizes the expression level (module eigengene, ME) of each co-expression module for different groups in a radial coordinate system. The ME for each module is averaged for each group, scaled, and then is plotted radially. The resulting plots help us to interpret which cell groups (clusters, cell types, etc) are expressing each module.