summarize_significant_components: Summarize Significant Components Across Metadata Features

In eisascience/scCustFx: single-cell custom fxs Package

Summarize Significant Components Across Metadata Features

Description

This function extracts significant components (p < 0.05) from multiple metadata feature tests and creates a summary table showing which components are shared across features.

Usage

summarize_significant_components(screenLS)

Arguments

screenLS

A named list where each element contains the output of 'screen_components_by_metadata()' for a metadata feature.

Value

A list containing:

summary_table	A binary presence/absence matrix showing which components are significant for each feature.
upset_plot	An UpSet plot visualizing shared and unique significant components.

Examples

## Not run: 
significance_summary <- summarize_significant_components(screenLS)
print(significance_summary$summary_table)
significance_summary$upset_plot

## End(Not run)

eisascience/scCustFx documentation built on June 2, 2025, 3:59 a.m.