eda_boxplot: Boxplot for processed data

In espors/idepGolem: Integrated Differential Expression and Pathway Analysis

Boxplot for processed data

Description

This function takes the processed data and creates a boxplot of number of sequences mapped to each tissue sample.

Usage

eda_boxplot(processed_data, sample_info, plots_color_select)

Arguments

processed_data	Matrix of data that has gone through pre_process()
sample_info	Matrix of experiment design information
plots_color_select	Vector of colors for plots

Value

Boxplot of the distribution of counts for each sample as a ggplot object.

See Also

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

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

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