RunGraphLaplacian {Seurat} | R 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
[Package Seurat version 5.1.0 Index]