Randomly downsample features and assign to VariableFeatures for the object. This will select n features at random.
DownsampleFeatures(object, assay = NULL, n = 20000, verbose = TRUE)
object | A Seurat object |
---|---|
assay | Name of assay to use. Default is the active assay. |
n | Number of features to retain (default 20000). |
verbose | Display messages |
Returns a Seurat
object with
VariableFeatures
set to the randomly sampled features.
DownsampleFeatures(atac_small, n = 10)#>#> An object of class Seurat #> 300 features across 100 samples within 3 assays #> Active assay: peaks (100 features, 10 variable features) #> 2 other assays present: bins, RNA #> 2 dimensional reductions calculated: lsi, umap