computeNetSimilarityPairwise: Compute signaling network similarity for any pair of datasets

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

Compute signaling network similarity for any pair of datasets

Description

Compute signaling network similarity for any pair of datasets

Usage

computeNetSimilarityPairwise(
  object,
  slot.name = "netP",
  type = c("functional", "structural"),
  comparison = NULL,
  k = NULL,
  thresh = NULL
)

Arguments

object	A merged CellChat object
slot.name	the slot name of object that is used to compute centrality measures of signaling networks
type	"functional","structural"
comparison	a numerical vector giving the datasets for comparison
k	the number of nearest neighbors
thresh	the fraction (0 to 0.25) of interactions to be trimmed before computing network similarity

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