NegBinomDETest: Negative binomial test for UMI-count based data

In nukappa/seurat_v2: Seurat : R toolkit for single cell genomics

Description

Identifies differentially expressed genes between two groups of cells using a negative binomial generalized linear model

Usage

NegBinomDETest(object, cells.1, cells.2, genes.use = NULL,
  latent.vars = NULL, print.bar = TRUE, min.cells = 3)

Arguments

object	Seurat object
cells.1	Group 1 cells
cells.2	Group 2 cells
genes.use	Genes to test. Default is to use all genes
print.bar	Print a progress bar once expression testing begins (uses pbapply to do this)
min.cells	Minimum number of cells expressing the gene in at least one of the two groups

Value

Returns a p-value ranked matrix of putative differentially expressed genes.

nukappa/seurat_v2 documentation built on May 24, 2019, 9:57 a.m.