mv_interactions: most variable interactions

In SCA-IRCM/SingleCellSignalR: Cell Signalling Using Single Cell RNAseq Data Analysis

most variable interactions

Description

Displays a heatmap showing the most variable interactions over all clusters.

Usage

mv_interactions(
  data,
  genes,
  cluster,
  c.names = NULL,
  n = 30,
  species = c("homo sapiens", "mus musculus")
)

Arguments

data	a data frame of n rows (genes) and m columns (cells) of read or UMI counts (note : rownames(data)=genes)
genes	a character vector of HUGO official gene symbols of length n
cluster	a numeric vector of length m
c.names	(optional) cluster names
n	an integer the number of most variables interactions
species	"homo sapiens" or "mus musculus"

Value

The function displays a heatmap showing the most variable interactions over all clusters

Examples

data <- matrix(runif(1000,0,1),nrow=5,ncol=200)
genes <- c("gene 1","gene 2","gene 3","gene 4","gene 5")
cluster <- c(rep(1,100),rep(2,100))
mv_interactions(data,genes,cluster)

SCA-IRCM/SingleCellSignalR documentation built on Dec. 11, 2022, 2:30 p.m.