degMV: Correlation of the standard desviation and the mean of the...

In DEGreport: Report of DEG analysis

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))

DEGreport documentation built on Nov. 8, 2020, 7:23 p.m.