id_markers: ID markers

Description Usage Arguments Details Examples

View source: R/id_markers.R

Description

This will perform marker gene identification

Usage

1
id_markers(input, id_by = "Cluster", print_progress = TRUE, overwrite = FALSE)

Arguments

input

the input ex_sc

id_by

a pData variable to run id_markers on. Defaults to "Cluster"

print_progress

will print progress if TRUE

overwrite

if TRUE will overwrite previously calculated scores on the same id_by variable

Details

This will find marker genes for each cluster. First, for each cluster it calculates the fraction of cells expressing a given gene, and the mean expression of that gene (within the cluster). It then compares these values to the values of all other groups looking for genes which maximize the distance in both fraction expressing and the mean expression.

Examples

1
ex_sc_example <- id_markers(input = ex_sc_example, print_progress = TRUE)

kgellatl/SignallingSingleCell documentation built on Dec. 29, 2021, 4:12 p.m.