scDGE: Differential gene expression analysis for each cluster...

Description Usage Arguments Value Author(s)

View source: R/scDGE.R

Description

Differential gene expression analysis for each cluster Perform differential analysis (DE) between two groups for each clusters

Usage

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scDGE(
  object = object,
  comparison = c("condA", "condB"),
  group.by = NULL,
  min.cells = 20,
  logFC = 0.25,
  clusters = NULL
)

Arguments

object

Seurat object.

comparison

Vector of nominal variables from group.by. Eg., comparison=c('Normal', 'Tumor')

group.by

Regroup cells before performing DGE, default group.by='group'

min.cells

Minimum number of cells to perform DGE, default min.cells=20

logFC

A positive value to set the cutoff of logFC, default logFC=0.25

clusters

Vector of Clusters to perform DGE, default clusters=NULL, which means all clusters will be performed

Value

DGE Table

Author(s)

rstatistics


ncrna/SCKIT documentation built on Jan. 2, 2022, 10:59 a.m.