mv_interactions {SingleCellSignalR} | R Documentation

## 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)

[Package SingleCellSignalR version 1.2.0 Index]