PoissonDETest: Poisson test for UMI-count based data
In nukappa/seurat_v2: Seurat : R toolkit for single cell genomics
Description
Usage
Arguments
Value
Description
Identifies differentially expressed genes between two groups of cells using
a poisson generalized linear model
Usage
1
2
PoissonDETest(object, cells.1, cells.2, genes.use = NULL,
latent.vars = NULL, print.bar = TRUE)
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)
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value
Description
Identifies differentially expressed genes between two groups of cells using a poisson generalized linear model
Usage
1 2 | PoissonDETest(object, cells.1, cells.2, genes.use = NULL,
latent.vars = NULL, print.bar = TRUE)
|
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) |
Value
Returns a p-value ranked matrix of putative differentially expressed genes.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.