netAnalysis_computeCentrality: Compute the network centrality scores allowing identification...

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

Compute the network centrality scores allowing identification of dominant senders, receivers, mediators and influencers in all inferred communication networks

Description

NB: This function was previously named as 'netAnalysis_signalingRole'. The previous function 'netVisual_signalingRole' is now named as 'netAnalysis_signalingRole_network'.

Usage

netAnalysis_computeCentrality(
  object = NULL,
  slot.name = "netP",
  net = NULL,
  net.name = NULL,
  thresh = 0.05
)

Arguments

object	CellChat object; If object = NULL, USER must provide 'net'
slot.name	the slot name of object that is used to compute centrality measures of signaling networks
net	compute the centrality measures on a specific signaling network given by a 2 or 3 dimemsional array net
net.name	a character vector giving the name of signaling networks
thresh	threshold of the p-value for determining significant interaction

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