After running the run_feature_filter()
code, this function will produce two
plot detailing the consequences of the filtering. Plot A shows the retained and
removed features by their total tube relative abundance contribution, and plot B
shows the retained and removed features by the total count of each category. The
"zero fractions" shown in plot B are those entirely missing from the given source_mat_id
and are thus not going to be retained no matter what the run_filter_feature()
parameters are.
Usage
plot_filter_results(
qsip_data_object,
return_type = "combined",
colors = lifecycle::deprecated()
)
See also
Other "visualizations":
plot_density_outliers()
,
plot_feature_curves()
,
plot_sample_curves()
,
plot_source_wads()