InterCom | R Documentation |
Reconstructs functional cell-cell communication networks for a given dataset.
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
)
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. |
List object containing the final interactome and auxiliary information
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