plot_most_contributing_features: Plot Top/Bottom most contributing features to PCA

In vallotlab/ChromSCape: Analysis of single-cell epigenomics datasets with a Shiny App

Plot Top/Bottom most contributing features to PCA

Description

Plot Top/Bottom most contributing features to PCA

Usage

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

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

Value

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

Examples

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

vallotlab/ChromSCape documentation built on Oct. 15, 2023, 1:47 p.m.