getSgsResultsVec: Obtain spatial gradient screening results

In theMILOlab/SPATA2: A Toolbox for Spatial Expression Analysis

Obtain spatial gradient screening results

Description

Extracts results in form of character vectors.

Usage

getSgsResultsVec(object, ...)

## S4 method for signature 'SpatialGradientScreening'
getSgsResultsVec(
  object,
  eval = "mae",
  pval = "fdr",
  arrange_by = eval,
  threshold_eval = 0.25,
  threshold_pval = 0.05,
  model_subset = NULL,
  model_remove = NULL,
  name_output = FALSE
)

Arguments

object	Any object for which a method has been defined.
name_output	If TRUE, the output vector is equipped with names that correspond to the model that fit best to the gradient.

Details

Extraction works similar to getSgsResultsDf(). Argument best_only, however, is always set to TRUE.

Value

Named character vector. Values are the variable/gene names. Names correspond to the model that fitted best.

theMILOlab/SPATA2 documentation built on Feb. 8, 2025, 11:41 p.m.