`trendSceek`¶

trendSceek

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¶

Argument	Description
`gobject`	Giotto object
`feat_type`	feature type
`spat_unit`	spatial unit
`spat_loc_name`	name for spatial locations
`expression_values`	gene expression values to use
`subset_genes`	subset of genes to run trendsceek on
`nrand`	An integer specifying the number of random resamplings of the mark distribution as to create the null-distribution.
`ncores`	An integer specifying the number of cores to be used by BiocParallel
`list()`	Additional parameters to the ``trendsceek_test` <#trendsceektest>`_ function

Details¶

This function is a wrapper for the trendsceek_test method implemented in the trendsceek package

Value¶

data.frame with trendsceek spatial genes results