Zoom into the 2D visualization of the learned manifold learning of the signaling networks
netVisual_embeddingZoomIn(
object,
slot.name = "netP",
type = c("functional", "structural"),
color.use = NULL,
pathway.remove = NULL,
nCol = 1,
dot.size = c(2, 6),
label.size = 2.8,
dot.alpha = 0.5,
xlabel = NULL,
ylabel = NULL,
do.label = T,
show.legend = F,
show.axes = T
)
CellChat object
the slot name of object that is used to compute centrality measures of signaling networks
"functional","structural"
defining the color for each cell group
a character vector defining the signaling to remove
the number of columns of the plot
a range defining the size of the symbol
font size of the text
transparency
label of x-axis
label of y-axis
label the each point
whether show the legend
whether show the axes