InterCom: Reconstructs functional cell-cell communication networks

View source: R/main.R

InterComR Documentation

Reconstructs functional cell-cell communication networks

Description

Reconstructs functional cell-cell communication networks for a given dataset.

Usage

InterCom(
  data,
  anno.tbl,
  species,
  sighot.cutoff = 0.1,
  sighot.percentile = 70,
  consv.thrs = 0.05,
  ncores = 4,
  sig.cutoff = 0.9,
  z.score.cutoff = 2,
  min.cells = 10,
  tissue.name,
  temp.folder.name = "temp",
  out.path
)

Arguments

data

Matrix or data frame of expression values; rows have to correspond to genes and columns to cells. Row names must be gene symbols while column names can be any identifier for a cell. Raw counts or normalized data is permitted.

anno.tbl

Data frame annotating each cell with a cluster/cell type. Cell names have to be provided in the first and cluster/cell type information in the second column.

species

The organism from which the data was obtained. Currently, only "MOUSE" and "HUMAN" are supported

sighot.cutoff

Cutoff parameter for SigHotSpotter. Can be between 0 and 1.

sighot.percentile

Percentile parameter for SigHotSpotter. Can be between 0 and 100.

consv.thrs

Fraction of cells per cluster/cell type that must express a ligand, receptor or TF to be considered.

ncores

Number of cores to use. Depending on the machine, can be any integer value greater or equal to 1.

sig.cutoff

Significance cutoff between 0 (weakest) and 1 (strictest). Default: 0.9

z.score.cutoff

Cutoff parameter to determine significant associations between receptors and interface TFs. Default: 2.

min.cells

The minimum number of cells/samples per cell type. Default: 10

tissue.name

A name of the dataset

temp.folder.name

Name of the temporary folder to be created within the output path. Default: "temp"

out.path

Path to a folder where the output should be stored.

Value

List object containing the final interactome and auxiliary information


saschajung/Intercom documentation built on May 27, 2023, 5:11 p.m.