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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