degMB {DEGreport} | R Documentation

## Distribution of expression of DE genes compared to the background

### Description

Distribution of expression of DE genes compared to the background

### Usage

    degMB(tags, group, counts, pop = 400)

### Arguments

`tags` | List of genes that are DE.
`group` | Character vector with group name for each sample in the same order than counts column names.
`counts` | Matrix with counts for each samples and each gene Should be same length than pvalues vector.
`pop` | number of random samples taken for background comparison

### 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)
    degMB(row.names(res)[1:20], colData(dds)[["group"]],
      counts(dds, normalized = TRUE))

[Package DEGreport version 1.16.0 Index]