compute.mca: 1. compute MCA embeddings

In gsdensity: Density-Based Gene Set Specificity Evaluation

1. compute MCA embeddings

Description

1. compute MCA embeddings

Usage

## S3 method for class 'mca'
compute(object, dims.use = 1:10, genes.use = rownames(object))

Arguments

object	a seurat object
dims.use	which mca dimensions to use; default is the first 10 dimensions
genes.use	which genes to use; default is all genes in the object

Value

returns a dataframe with cells as rows and mca coordinates as columns

Examples

pbmc <- Seurat::CreateSeuratObject(pbmc.mtx, meta.data = pbmc.meta)
ce <- compute.mca(object = pbmc)

gsdensity documentation built on March 31, 2023, 8:32 p.m.