Learn R Programming

Platypus (version 3.6.0)

GEX_coexpression_coefficient: Coexpression of selected genes

Description

Returns eiter a plot or numeric data of coexpression levels of selected genes.Coexpression % is calculated as the quotient of double positive cells (counts \> 0) and the sum of total cells positive for either genes.

Usage

GEX_coexpression_coefficient(GEX, genes, subsample.n, plot.dotmap)

Value

Returns a dataframe if pot.dotmap == FALSE or a ggplot if plot.dotmap == TRUE detailing the coexpression levels of selected genes within the given cell population

Arguments

GEX

GEX seurat object generated with VDJ_GEX_matrix (VDJ_GEX_matrix.output\[\[2\]\])

genes

Character vector. At least 2 genes present in rownames(GEX). Use "all" to include all genes. The number of comparisons to make is the length(genes)! (factorial). More than 100 genes are not recommended.

subsample.n

Interger. Number of cells to subsample. If set to 100, 100 cells will be randomly sampled for the calculation

plot.dotmap

Boolean. Whether to return a plot

Examples

Run this code
GEX_coexpression_coefficient(GEX = Platypus::small_vgm[[2]]
, genes = c("CD19", "CD83"), subsample.n = "none", plot.dotmap = FALSE)

Run the code above in your browser using DataLab