Description Usage Arguments Value See Also Examples
plot_exposures
: The exposures H
, determined by NMF or by
LCD
, are displayed as a stacked barplot by calling
geom_bar
and optionally
geom_text
.
The x-axis displays the PIDs (patient identifier or sample), the y-axis
the counts attributed to the different signatures with their respective
colours per PID. Is called by plot_relative_exposures
.
plot_relative_exposures
: Plot the relative or normalized exposures of
a cohort. This function first
normalizes its input and then sends the normalized data to
plot_exposures
.
1 2 3 4 5 6 7 | plot_exposures(in_exposures_df, in_signatures_ind_df, in_subgroups_df = NULL,
in_sum_ind = NULL, in_subgroups.field = "subgroup", in_title = "",
in_labels = TRUE, in_show_subgroups = TRUE, legend_height = 10)
plot_relative_exposures(in_exposures_df, in_signatures_ind_df, in_subgroups_df,
in_sum_ind = NULL, in_subgroups.field = "subgroup", in_title = "",
in_labels = TRUE, in_show_subgroups = TRUE)
|
in_exposures_df |
Numerical data frame encoding the exposures |
in_signatures_ind_df |
A data frame containing meta information about the signatures |
in_subgroups_df |
A data frame indicating which PID (patient or sample identifyier) belongs to which subgroup |
in_sum_ind |
Index vector influencing the order in which the PIDs are going to be displayed |
in_subgroups.field |
String indicating the column name in |
in_title |
Title for the plot to be created. |
in_labels |
Flag, if |
in_show_subgroups |
Flag, if |
legend_height |
How many signatures should be displayed in one column together at most. |
The generated barplot - a ggplot2 plot
1 2 3 4 5 6 7 8 9 | data(lymphoma_cohort_LCD_results)
plot_exposures(lymphoma_Nature2013_COSMIC_cutoff_exposures_df,
chosen_signatures_indices_df,
COSMIC_subgroups_df)
data(lymphoma_cohort_LCD_results)
plot_relative_exposures(lymphoma_Nature2013_COSMIC_cutoff_exposures_df,
chosen_signatures_indices_df,
COSMIC_subgroups_df)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.