netAnalysis_signalingRole_network: Heatmap showing the centrality scores/importance of cell...

In sqjin/CellChat: Inference and analysis of cell-cell communication from single-cell and spatial transcriptomics data

Heatmap showing the centrality scores/importance of cell groups as senders, receivers, mediators and influencers in a single intercellular communication network

Description

Heatmap showing the centrality scores/importance of cell groups as senders, receivers, mediators and influencers in a single intercellular communication network

Usage

netAnalysis_signalingRole_network(
  object,
  signaling,
  slot.name = "netP",
  measure = c("outdeg", "indeg", "flowbet", "info"),
  measure.name = c("Sender", "Receiver", "Mediator", "Influencer"),
  color.use = NULL,
  color.heatmap = "BuGn",
  width = 6.5,
  height = 1.4,
  font.size = 8,
  font.size.title = 10,
  cluster.rows = FALSE,
  cluster.cols = FALSE
)

Arguments

object	CellChat object
signaling	a character vector giving the name of signaling networks
slot.name	the slot name of object that is used to compute centrality measures of signaling networks
measure	centrality measures to show
measure.name	the names of centrality measures to show
color.use	the character vector defining the color of each cell group
color.heatmap	a color name in brewer.pal
width	width of heatmap
height	height of heatmap
font.size	fontsize in heatmap
font.size.title	font size of the title
cluster.rows	whether cluster rows
cluster.cols	whether cluster columns

sqjin/CellChat documentation built on Nov. 10, 2023, 4:29 a.m.