IDVariantGenes: Identify genes variable across axis of interest

In BlishLab/scriabin: Single-cell resolved interaction analysis through binning

Identify genes variable across axis of interest

Description

Identify genes variable across axis of interest

Usage

IDVariantGenes(
  seu,
  assay = "SCT",
  slot = "data",
  n.gene = 500,
  group.by = "orig.ident",
  filter_quality = F
)

Arguments

seu	A seurat object
assay	Which assay to use
slot	Which slot to use
n.gene	Number of variable genes to return (default: 500)
group.by	Name of meta.data column corresponding to how dataset should be split. This corresponds to the axis of biologically interesting variation.
filter_quality	Remove quality-associated genes like mitochondrial, ribosomal, etc.

Examples

## Not run: 
var_genes <- IDVariantGenes(seu)

## End(Not run)

BlishLab/scriabin documentation built on July 5, 2023, 1:14 a.m.