sccomp_boxplot: sccomp_boxplot

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

sccomp_boxplot

Description

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

Usage

sccomp_boxplot(.data, factor, 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
factor	A character string for a factor of interest included in the model
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,
    cores = 1
  ) |>
  sccomp_test()

# estimate |> sccomp_boxplot()

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