plot_feature_distributions: Plot feature distributions from SingleCellExperiment objects

In keshav-motwani/scanalysis: Multi-Sample Visualization and Immune Repertoire Analysis Utilities for Single-Cell Data

Description

Plot feature distributions from SingleCellExperiment objects

Usage

plot_feature_distributions(
  sce_list,
  features,
  x,
  color = x,
  fill = NULL,
  facet_rows = c(".feature"),
  facet_columns = c(".sample"),
  assay = "logcounts",
  alt_exp = NULL,
  ...
)

plot_features(
  sce_list,
  features,
  x,
  color = x,
  fill = NULL,
  facet_rows = c(".feature"),
  facet_columns = c(".sample"),
  assay = "logcounts",
  alt_exp = NULL,
  ...
)

Arguments

sce_list	list of SingleCellExperiment objects
features	numeric features to plot - can be from reducedDims, colData, or assay data
x	colData variable to plot on x-axis
color	colData variable to color points by
fill	colData variable to fill by
facet_rows	variables from colData to facet on, can also include ".sample" or ".feature" as described below
facet_columns	variables from colData to facet on, can also include ".sample" or ".feature" as described below
assay	assay to obtain data from (counts, logcounts, etc)
alt_exp	alternate experiment to obtain data from
...	other parameters passed to ggexp::plot_distributions

Value

ggplot object

Examples

NULL

keshav-motwani/scanalysis documentation built on Feb. 4, 2021, 2:21 a.m.