get_variable_genes_basic: Identified variable genes by using the standard mean of gene...

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

Identified variable genes by using the standard mean of gene expression and coefficient of variation

Description

Identified variable genes by using the standard mean of gene expression and coefficient of variation

Usage

get_variable_genes_basic(
  object,
  mean_expr_cutoff = 0.1,
  max_of_mean_expr_cutoff = 5,
  cv.max = 3,
  cv.min = 0.5
)

Arguments

object	The SingCellaR object.
mean_expr_cutoff	The mean expression cutoff. Default 0.1
max_of_mean_expr_cutoff	The maximum number of gene expression cutoff. This is to filter out housekeeping and ribosomal genes. Default 5
cv.max	The maximum CV cutoff. Default 3
cv.min	The minimum CV cutoff. Default 0.5

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