arseq.mvg.plot: Most Variable Genes

In ajitjohnson/arseq: Automated RNA Sequencing Analysis Pipeline

Description

Identifying the most variable genes in the dataset

Usage

arseq.mvg.plot(
  mvg,
  metadata,
  intgroup = "arseq.group",
  save.plot = FALSE,
  save.dir = getwd()
)

Arguments

mvg	Expression matrix of the most variable genes identified using the function 'arseq.mvg'
metadata	A CSV file with information regarding the samples.
intgroup	interesting groups: a character vector of names in colData(x) to use for grouping.
save.plot	Logical. Argument to state if the plot needs to be saved in disk. Default: FALSE
save.dir	Location to save the plot when 'save.plot=TRUE'. Default: Working Directory.

Value

Heatmap of the most variable genes

Examples

mvg <- arseq.mvg (example_dds)
mvg.plot <- arseq.mvg.plot (mvg[1:100,],metadata= example_meta,intgroup="treatment")

ajitjohnson/arseq documentation built on Oct. 28, 2021, 3:53 a.m.