plot_summary: plot_summary

In stemangiola/sccomp: Robust Outlier-aware Estimation of Composition and Heterogeneity for Single-cell Data

plot_summary

Description

This function plots a summary of the results of the model.

Usage

plot_summary(.data, significance_threshold = 0.025)

Arguments

.data	A tibble including a cell_group name column | sample name column | read counts column | factor columns | Pvalue column | a significance column
significance_threshold	A real. FDR threshold for labelling significant cell-groups.

Value

A ggplot

Examples

data("counts_obj")

estimate =
  sccomp_estimate(
  counts_obj ,
   ~ type, ~1, sample, cell_group, count,
    approximate_posterior_inference = "all",
    cores = 1
  )

# estimate |> plot_summary()

stemangiola/sccomp documentation built on May 17, 2024, 6:24 a.m.