View source: R/fct_02_pre_process.R
chr_normalized_ggplot | R Documentation |
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.
chr_normalized_ggplot(counts_data, sample_info, type = "", all_gene_info)
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. |
A barplot as a ggplot
object
Other preprocess functions:
chr_counts_ggplot()
,
eda_boxplot()
,
eda_density()
,
eda_scatter()
,
gene_counts_ggplot()
,
individual_plots()
,
mean_sd_plot()
,
pre_process()
,
rRNA_counts_ggplot()
,
total_counts_ggplot()
Other plots:
PCA_plot()
,
chr_counts_ggplot()
,
cor_plot()
,
draw_sample_tree()
,
eda_boxplot()
,
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()
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