View source: R/visualization.R
netVisual_embeddingZoomIn | R Documentation |
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
)
object |
CellChat object |
slot.name |
the slot name of object that is used to compute centrality measures of signaling networks |
type |
"functional","structural" |
color.use |
defining the color for each cell group |
pathway.remove |
a character vector defining the signaling to remove |
nCol |
the number of columns of the plot |
dot.size |
a range defining the size of the symbol |
label.size |
font size of the text |
dot.alpha |
transparency |
xlabel |
label of x-axis |
ylabel |
label of y-axis |
do.label |
label the each point |
show.legend |
whether show the legend |
show.axes |
whether show the axes |
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