SketchData | R Documentation |
This function uses sketching methods to downsample high-dimensional single-cell RNA expression data, which can help with scalability for large datasets.
SketchData(
object,
assay = NULL,
ncells = 5000L,
sketched.assay = "sketch",
method = c("LeverageScore", "Uniform"),
var.name = "leverage.score",
over.write = FALSE,
seed = 123L,
cast = "dgCMatrix",
verbose = TRUE,
...
)
object |
A Seurat object. |
assay |
Assay name. Default is NULL, in which case the default assay of the object is used. |
ncells |
A positive integer indicating the number of cells to sample for the sketching. Default is 5000. |
sketched.assay |
Sketched assay name. A sketch assay is created or overwrite with the sketch data. Default is 'sketch'. |
method |
Sketching method to use. Can be 'LeverageScore' or 'Uniform'. Default is 'LeverageScore'. |
var.name |
A metadata column name to store the leverage scores. Default is 'leverage.score'. |
over.write |
whether to overwrite existing column in the metadata. Default is FALSE. |
seed |
A positive integer for the seed of the random number generator. Default is 123. |
cast |
The type to cast the resulting assay to. Default is 'dgCMatrix'. |
verbose |
Print progress and diagnostic messages |
... |
Arguments passed to other methods |
A Seurat object with the sketched data added as a new assay.
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