select_genes: Select highly variabel genes shared among datasets
In pengminshi/cFIT: cFIT (common Factor Space Integration & Transfer)
View source: R/data_preprocessing_utils.R
Description
wrapper for Seurat gene selection functions FindVariableFeatures and SelectIntegrationFeatures.
Usage
1
select_genes(X.list, ngenes = 3000, verbose = F)
Arguments
X.list
a list of m cells-by-genes gene expression matrices from m data sets
ngenes
integer, number of highly variable genes to select
verbose
boolean scalar, whether to show Seurat gene selection messages (default FALSE)
pengminshi/cFIT documentation built on July 11, 2021, 11:12 p.m.
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View source: R/data_preprocessing_utils.R
Description
wrapper for Seurat gene selection functions FindVariableFeatures and SelectIntegrationFeatures.
Usage
1 | select_genes(X.list, ngenes = 3000, verbose = F)
|
Arguments
X.list |
a list of m cells-by-genes gene expression matrices from m data sets |
ngenes |
integer, number of highly variable genes to select |
verbose |
boolean scalar, whether to show Seurat gene selection messages (default FALSE) |
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.
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