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Embed latent space into grey color scale.

Usage

embed_latent_space(
  counts,
  assay,
  dim_reduction,
  dimensions,
  features = NULL,
  remove_lsi_1,
  verbose
)

Arguments

counts

Seurat object containing counts (generally normalised)

assay

charcter string of the assay being used

dim_reduction

dimensionality reduction method that will be used Select from PCA, PCA_L, UMAP, LSI, LSI_UMAP

dimensions

numeric for number of dimeniosn top retain after dimensionality reduction

features

custom features used for dim reduction

remove_lsi_1

logical if first dimension of LSI embedding should be removed (will soon be depreciated)

verbose

logical if progress messages should be outputed or not

Value

data frame of normalised embedding values.

Details

General method dispatch function for dim reduction methods