AddUMAP: Add UMAP embeddings for a Seurat object

View source: R/SetClass.R

AddUMAPR Documentation

Add UMAP embeddings for a Seurat object

Description

Run UMAP dimensionality reduction on selected features.

Usage

  AddUMAP(seuInt, n_comp=3, reduction='PRECAST', assay='PRE_CAST', seed=1)

Arguments

seuInt

a Seurat object.

n_comp

an optional positive integer, specify the number of features to be extracted.

reduction

an optional string, means which dimensional reduction (e.g. PRECAST, PCA) to use for the UMAP. Default is PRECAST.

assay

Name of assay that that t-SNE is being run on.

seed

an optional integer, the random seed to evaluate UMAP.

Details

Nothing

Value

Return a revised Seurat object by adding UMAP reduction object.

Note

nothing

Author(s)

Wei Liu

See Also

None


PRECAST documentation built on May 29, 2024, 3 a.m.