add_dimred_future: Add the future dimensionality reduction based on RNA velocity...

In dynverse/scvelo: An R wrapper around the great "scvelo" python package

Description

Add the future dimensionality reduction based on RNA velocity information, using the existing dimensionality reduction

Usage

add_dimred_future(
  dataset,
  dimred = dynwrap::get_dimred(dataset),
  expression = dataset$expression,
  expression_future = dataset$expression_future
)

embed_velocity(
  dataset,
  dimred = dynwrap::get_dimred(dataset),
  expression = dataset$expression,
  expression_future = dataset$expression_future
)

Arguments

dataset	A dataset created by wrap_data() or wrap_expression()
dimred	Can be A function which will perform the dimensionality reduction, see dyndimred::list_dimred_methods() A matrix with the dimensionality reduction, with cells in rows and dimensions (comp_1, comp_2, ...) in columns
expression	The normalised expression values of genes (columns) within cells (rows). This can be both a dense and sparse matrix.
expression_future	Projected expression using RNA velocity of genes (columns) within cells (rows). This can be both a dense and sparse matrix.

dynverse/scvelo documentation built on April 9, 2020, 3:42 a.m.