This function is for plotting the results of lipid characteristics differential expression analysis.
plot_deChar_multiGroup(deChar_se)
A SummarizedExperiment object with results computed by deChar_multiGroup
.
Return a list with 5 static plots, 4 interactive plots, and 5 data frames.
static_barPlot: a static bar plot shows the average expression of each sample group and highlights significant differences between groups based on a user-selected characteristic.
static_barPlot_sqrt: a static bar plot shows the average expression of each sample group and highlights significant differences between groups based on a user-selected characteristic. NOTE: the y axis is sqrt-scaled.
static_linePlot: a static line plot shows the average expression of each sample group and highlights significant differences between the groups based on a user-selected characteristic.
static_linePlot_sqrt: a static line plot shows the average expression of each sample group and highlights significant differences between the groups based on a user-selected characteristic. NOTE: the y axis is sqrt-scaled.
static_boxPlot: a static box plot of ctrl group and experiment group.
interactive_barPlot: an interactive bar plot shows the average expression of each sample group and highlights significant differences between groups based on a user-selected characteristic.
interactive_barPlot_sqrt: an interactive bar plot shows the average expression of each sample group and highlights significant differences between groups based on a user-selected characteristic. NOTE: the y axis is sqrt-scaled.
interactive_linePlot: an interactive line plot shows the average expression of each sample group and highlights significant differences between the groups based on a user-selected characteristic.
interactive_linePlot_sqrt: an interactive line plot shows the average expression of each sample group and highlights significant differences between the groups based on a user-selected characteristic. NOTE: the y axis is sqrt-scaled.
table_barPlot: table for plotting bar plots
table_linePlot: table for plotting line plots
table_boxPlot: table for plotting box plots
table_char_index: table with the value calculated by the weighted average of lipid characteristics abundance
table_index_stat: table with statistics of control and experiment groups
data("se_multiGroup")
processed_se <- data_process(
se=se_multiGroup, exclude_missing=TRUE, exclude_missing_pct=70,
replace_na_method='min', replace_na_method_ref=0.5,
normalization='Percentage')
deChar_se <- deChar_multiGroup(
processed_se, char='Total.C', ref_group='ctrl', post_hoc='One-way ANOVA',
post_hoc_sig='pval', post_hoc_p_cutoff=0.05, transform='log10')
#> There are 4 ratio characteristics that can be converted in your dataset.
deChar_plot <- plot_deChar_multiGroup(deChar_se)