SSNExpression.Rd
generates SSN connectivity plot used to visualize transcriptomic gene network.
SSNExpression(
cell.object,
gene.object,
group_by = "seurat_clusters",
features = NULL,
max_cells = 20000,
connectivity.plot = NULL
)
Seurat object (gene x cell). Same as input to runSSN(object = cell.object, ...).
Seurat object (cell x gene) obtained from SSN analysis.
meta feature used for grouping. Must be present in `cell.object`.
feature to visualize expression.
maximum number of cells used. Default is 20000. If number of cells in `cell.object` exceeds `max_cells`, `cell.object` is downsampled.
"plot_edge" generated by SSNConnectivity function. If not specified, not edges are plotted in SSN graph plot.
Returns 2 variants of SSN connectivity plot along with data.frame used to generate plots.
runSSN
for SSN analysis (gene.object), pruneSSN
for gene program features (gene.list), SSNConnectivity
for connectivity plot.