qc_density_plot: Create a density plot of log2 expression across samples of an...

In bulkAnalyseR: Interactive Shiny App for Bulk Sequencing Data

Create a density plot of log2 expression across samples of an experiment

Description

This function creates a density plot between all samples in the expression matrix. Metadata columns are used to group samples.

Usage

qc_density_plot(expression.matrix, metadata, annotation.id)

Arguments

expression.matrix	the expression matrix; rows correspond to genes and columns correspond to samples; usually preprocessed by preprocessExpressionMatrix; a list (of the same length as modality) can be provided if #' length(modality) > 1
metadata	a data frame containing metadata for the samples contained in the expression.matrix; must contain at minimum two columns: the first column must contain the column names of the expression.matrix, while the last column is assumed to contain the experimental conditions that will be tested for differential expression; a list (of the same length as modality) can be provided if #' length(modality) > 1
annotation.id	name of metadata column on which to group samples

Value

The density plot as a ggplot object.

Examples

expression.matrix.preproc <- as.matrix(read.csv(
  system.file("extdata", "expression_matrix_preprocessed.csv", package = "bulkAnalyseR"), 
  row.names = 1
))[1:500,]

metadata <- data.frame(
  srr = colnames(expression.matrix.preproc), 
  timepoint = rep(c("0h", "12h", "36h"), each = 2)
)
print(qc_density_plot(expression.matrix.preproc, metadata, 'timepoint'))

bulkAnalyseR documentation built on Dec. 28, 2022, 2:04 a.m.