FetchResidualSCTModel: Calculate pearson residuals of features not in the scale.data...

In satijalab/seurat: Tools for Single Cell Genomics

Calculate pearson residuals of features not in the scale.data This function is the secondary function under FetchResiduals

Description

Calculate pearson residuals of features not in the scale.data This function is the secondary function under FetchResiduals

Usage

FetchResidualSCTModel(
  object,
  assay = "SCT",
  umi.assay = "RNA",
  layer = "counts",
  chunk_size = 2000,
  layer.cells = NULL,
  SCTModel = NULL,
  reference.SCT.model = NULL,
  new_features = NULL,
  clip.range = NULL,
  replace.value = FALSE,
  verbose = FALSE
)

Arguments

object	A seurat object
assay	Name of the assay of the seurat object generated by SCTransform. Default is "SCT"
umi.assay	Name of the assay of the seurat object to fetch UMIs from. Default is "RNA"
layer	Name of the layer under 'umi.assay' to fetch UMIs from. Default is "counts"
chunk_size	Number of cells to load in memory for calculating residuals
layer.cells	Vector of cells to calculate the residual for. Default is NULL which uses all cells in the layer
SCTModel	Which SCTmodel to use from the object for calculating the residual. Will be ignored if reference.SCT.model is set
reference.SCT.model	If a reference SCT model should be used for calculating the residuals. When set to not NULL, ignores the 'SCTModel' paramater.
new_features	A vector of features to calculate the residuals for
clip.range	Numeric of length two specifying the min and max values the Pearson residual will be clipped to. Useful if you want to change the clip.range.
replace.value	Whether to replace the value of residuals if it already exists
verbose	Whether to print messages and progress bars

Value

Returns a matrix containing centered pearson residuals of added features

satijalab/seurat documentation built on May 11, 2024, 4:04 a.m.