remove_unwanted_confounders: Removing unwanted confounders using limma

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

Removing unwanted confounders using limma

Description

Removing unwanted confounders using limma

Usage

remove_unwanted_confounders(
  object,
  residualModelFormulaStr = "~UMI_count+percent_mito",
  preserved_feature = "",
  block.gene.size = 2000
)

Arguments

object	The SingCellaR object.
residualModelFormulaStr	The model for removing confounder variables.
preserved_feature	is a defined preserved variable such as a cell genotype.
block.gene.size	is the number of genes in each processing block.

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