remove_variables_second: Remove variables based on the mean expression levels across...
In keita-iida/ASURAT: Functional annotation-driven unsupervised clustering for single-cell data
remove_variables_second R Documentation
Remove variables based on the mean expression levels across samples.
Description
This function removes variable data such that the mean expression levels
across samples are less than 'min_meannReads'.
Usage
remove_variables_second(sce = NULL, min_meannReads = 0)
Arguments
sce
A SingleCellExperiment object.
min_meannReads
An integer. This function removes variables for which
the mean read counts are less than this value.
Value
A SingleCellExperiment object.
Examples
data(pbmc_eg)
pbmc <- remove_variables_second(sce = pbmc_eg, min_meannReads = 0.01)
keita-iida/ASURAT documentation built on Nov. 23, 2022, 6:50 p.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.
| remove_variables_second | R Documentation |
Remove variables based on the mean expression levels across samples.
Description
This function removes variable data such that the mean expression levels across samples are less than 'min_meannReads'.
Usage
remove_variables_second(sce = NULL, min_meannReads = 0)
Arguments
sce |
A SingleCellExperiment object. |
min_meannReads |
An integer. This function removes variables for which the mean read counts are less than this value. |
Value
A SingleCellExperiment object.
Examples
data(pbmc_eg) pbmc <- remove_variables_second(sce = pbmc_eg, min_meannReads = 0.01)
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.