RunGraphLaplacian: Run Graph Laplacian Eigendecomposition

View source: R/generics.R

RunGraphLaplacianR Documentation

Run Graph Laplacian Eigendecomposition

Description

Run a graph laplacian dimensionality reduction. It is used as a low dimensional representation for a cell-cell graph. The input graph should be symmetric

Usage

RunGraphLaplacian(object, ...)

## S3 method for class 'Seurat'
RunGraphLaplacian(
  object,
  graph,
  reduction.name = "lap",
  reduction.key = "LAP_",
  n = 50,
  verbose = TRUE,
  ...
)

## Default S3 method:
RunGraphLaplacian(object, n = 50, reduction.key = "LAP_", verbose = TRUE, ...)

Arguments

object

A Seurat object

...

Arguments passed to eigs_sym

graph

The name of graph

reduction.name

dimensional reduction name, lap by default

reduction.key

dimensional reduction key, specifies the string before the number for the dimension names. LAP by default

n

Total Number of Eigenvectors to compute and store (50 by default)

verbose

Print message and process

Value

Returns Seurat object with the Graph laplacian eigenvector calculation stored in the reductions slot


satijalab/seurat documentation built on May 11, 2024, 4:04 a.m.