degMV {DEGreport} | R Documentation

## Correlation of the standard desviation and the mean of the abundance of a set of genes.

### Description

Correlation of the standard desviation and the mean of the abundance of a set of genes.

### Usage

    degMV(group, pvalues, counts, sign = 0.01)

### Arguments

`group` | Character vector with group name for each sample in the same order than counts column names.
`pvalues` | pvalues of DEG analysis.
`counts` | Matrix with counts for each samples and each gene.
`sign` | Defining the cutoff to label significant features. row number should be the same length than pvalues vector.

### Value

ggplot2 object

### Examples

    data(humanGender)
    library(DESeq2)
    idx <- c(1:10, 75:85)
    dds <- DESeqDataSetFromMatrix(assays(humanGender)[[1]][1:1000, idx],
      colData(humanGender)[idx,], design=~group)
    dds <- DESeq(dds)
    res <- results(dds)
    degMV(colData(dds)[["group"]],
          res[, 4],
          counts(dds, normalized = TRUE))

[Package DEGreport version 1.16.0 Index]