Plot Top/Bottom most contributing features to PCA

Source: R/plotting_functions.R

Plot Top/Bottom most contributing features to PCA

plot_most_contributing_features(
  scExp,
  component = "Component_1",
  n_top_bot = 10
)

Arguments

scExp

A SingleCellExperiment containing "PCA" in reducedDims and gene annotation in rowRanges
component

The name of the component of interest
n_top_bot

An integer number of top and bot regions to plot

Value

A barplot of top and bottom features with the largest absolute value in the component of interest

Details

If a gene TSS is within 10,000bp of the region, the name of the gene(s) will be displayed instead of the region

Examples

data(scExp)
plot_most_contributing_features(scExp, component = "Component_1")