NegBinomRegDETest: Negative binomial test for UMI-count based data (regularized...

In mayer-lab/SeuratForMayer2018: Seurat : R Toolkit for Single Cell Genomics

Description

Identifies differentially expressed genes between two groups of cells using a likelihood ratio test of negative binomial generalized linear models where the overdispersion parameter theta is determined by pooling information across genes.

Usage

NegBinomRegDETest(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 use for test
latent.vars	Latent variables to test
print.bar	Print progress bar
min.cells	Minimum number of cells threshold

Value

Returns a p-value ranked data frame of test results.

mayer-lab/SeuratForMayer2018 documentation built on May 25, 2019, 9:34 p.m.