GEM_Wrapper: Wrap Seurat RNA clustering

In chenweng1991/scMitoTracing: R package for Regulatory multi-omics with Deep Mitochondrial mutation profiling

Wrap Seurat RNA clustering

Description

This function allows you to perform standard sc-RNA clustering

Usage

GEM_Wrapper(mtx = bmmc.data$`Gene Expression`, exp = "DN1_BMMC1", res = 0.5)

Arguments

mtx	sparse Matrix of class "dgCMatrix", each row is a gene, each column is a cell,
exp	The name of this sample/experiment
res	clustering resolution, default=0.5

Value

this returns seurat object with RNA clustering

Examples

bmmc.data=Read10X(data.dir = "XX/CellRanger/Donor01_BMMC_1/outs/filtered_feature_bc_matrix")
docluster_GEM(mtx=bmmc.data$`Gene Expression`,exp="DN1_BMMC1")

chenweng1991/scMitoTracing documentation built on July 2, 2024, 8:41 p.m.