Performs subsampling-based consensus clustering across multiple resolution parameters to identify robust cluster numbers in single-cell RNA-seq data.
Usage
MultiK(
seu,
resolution = seq(0.05, 2, 0.05),
nPC = 30,
reps = 100,
pSample = 0.8,
k.param = 20,
nfeatures = 2000,
seed = NULL,
cores = 1
)Arguments
- seu
A Seurat object
- resolution
Numeric vector of resolution parameters for Seurat clustering. Default is seq(0.05, 2, 0.05)
- nPC
Number of principal components. Default is 30
- reps
Number of subsampling iterations. Default is 100
- pSample
Proportion of cells to subsample. Default is 0.8
- k.param
Number of nearest neighbors for graph construction. Default is 20
- nfeatures
Number of variable features to select. Default is 2000
- seed
Random seed for reproducibility. Default is NULL
- cores
Number of cores for parallel processing. Default is 1