plot.sccomp_tbl: plot

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

plot

Description

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

Usage

## S3 method for class 'sccomp_tbl'
plot(x, ...)

Arguments

x	A tibble including a cell_group name column | sample name column | read counts column | factor columns | Pvalue column | a significance column
...	parameters like 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
  )

# estimate |> plot()

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