trendSceek#
Last Updated: Oct 02, 2023
Description#
Compute spatial variable genes with trendsceek method
Usage#
trendSceek(
gobject,
feat_type = NULL,
spat_unit = NULL,
spat_loc_name = "raw",
expression_values = c("normalized", "raw"),
subset_genes = NULL,
nrand = 100,
ncores = 8,
...
)
Arguments#
|
Giotto object |
|
feature type |
|
spatial unit |
|
name for spatial locations |
|
gene expression values to use |
|
subset of genes to run trendsceek on |
|
An integer specifying the number of random resamplings of the mark distribution as to create the null-distribution. |
|
An integer specifying the number of cores to be used by BiocParallel |
|
Additional parameters to the
|
Details#
This function is a wrapper for the trendsceek_test method implemented in the trendsceek package Publication: doi:10.1038/nmeth.4634
Value#
data.frame with trendsceek spatial genes results