rRNA_counts_ggplot: Creates a barplot of the count data by gene type

In espors/idepGolem: Integrated Differential Expression and Pathway Analysis

Creates a barplot of the count data by gene type

Description

This function takes in either raw count or processed data and creates a formatted barplot as a ggplot object that shows the number of genes mapped to each sample in millions. This function is only used for read counts data.

Usage

rRNA_counts_ggplot(
  counts_data,
  sample_info,
  type = "",
  all_gene_info,
  plots_color_select
)

Arguments

counts_data	Matrix of raw counts from gene expression data
sample_info	Matrix of experiment design information for grouping samples
type	String designating the type of data to be used in the title. Commonly either "Raw" or "Transformed"
all_gene_info	Gene info, including chr., gene type etc.
plots_color_select	Vector of colors for plots

Value

A barplot as a ggplot object

See Also

Other preprocess functions: chr_counts_ggplot(), chr_normalized_ggplot(), eda_boxplot(), eda_density(), eda_scatter(), gene_counts_ggplot(), individual_plots(), mean_sd_plot(), pre_process(), total_counts_ggplot()

Other plots: PCA_plot(), chr_counts_ggplot(), chr_normalized_ggplot(), cor_plot(), draw_sample_tree(), eda_boxplot(), eda_density(), eda_scatter(), gene_counts_ggplot(), individual_plots(), k_means_elbow(), mean_sd_plot(), sd_density(), t_SNE_plot(), total_counts_ggplot()

espors/idepGolem documentation built on April 23, 2024, 1:11 p.m.