runKBET: kBET analysis

In supatt-lab/SingCellaR: SingCellaR: an integrative analysis tool for single-cell RNA sequencing (scRNA-seq) data

kBET analysis

Description

kBET analysis

Usage

runKBET(
  covariate_variable_name = "donor",
  reference.celltypes.rds.file = "",
  integrative.umap.rds.files = "",
  integrative.method.names = "",
  n.sample = 1000
)

Arguments

covariate_variable_name	The batch effect variable of interest such as 'batch' and 'donor'. Default 'donor'
reference.celltypes.rds.file	The RDS file name that contains cell type information.
integrative.umap.rds.files	The vector of file names that contain UMAP coordinate information generated by different integrative methods.
integrative.method.names	The vector of integrative method names represented in the same order as in 'integrative.umap.rds.files'.
n.sample	The downsample size of data points used in kBET analysis.

supatt-lab/SingCellaR documentation built on Aug. 24, 2023, 5:49 p.m.