find_CCA_genes: Find high variance genes for CCA

In jacobheng/cellwrangler: Supplemental toolkit for single-cell RNAseq analysis

Description

find_CCA_genes() defines genes to use for CCA by finding high-variance genes in a list of Seurat objects that are highly variable in a minimum number of samples/objects.

Usage

find_CCA_genes(SeuratObjectList, num_hvg_genes = 1000,
  num_samples_variable = 2)

Arguments

SeuratObjectList	a list of Seurat objects
num_hvg_genes	number of high-variance genes per sample to examine starting from the most variable
num_samples_variable	minimum numher of samples the high-variance genes must be highly variable in

Value

A list of Seurat Objects

Examples

genes.use <- find_CCA_genes(SeuratObList,  num_hvg_genes=1000, num_samples_variable=2)

jacobheng/cellwrangler documentation built on Aug. 12, 2019, 6:49 a.m.