FindSpatiallyVariableFeatures: Find spatially variable features

Description

Identify features whose variability in expression can be explained to some degree by spatial location.

Usage

FindSpatiallyVariableFeatures(object, ...)
# S3 method for default
FindSpatiallyVariableFeatures(
  object,
  spatial.location,
  selection.method = c("markvariogram", "moransi"),
  r.metric = 5,
  x.cuts = NULL,
  y.cuts = NULL,
  verbose = TRUE,
  ...
)
# S3 method for Assay
FindSpatiallyVariableFeatures(
  object,
  slot = "scale.data",
  spatial.location,
  selection.method = c("markvariogram", "moransi"),
  features = NULL,
  r.metric = 5,
  x.cuts = NULL,
  y.cuts = NULL,
  nfeatures = nfeatures,
  verbose = TRUE,
  ...
)
# S3 method for Seurat
FindSpatiallyVariableFeatures(
  object,
  assay = NULL,
  slot = "scale.data",
  features = NULL,
  image = NULL,
  selection.method = c("markvariogram", "moransi"),
  r.metric = 5,
  x.cuts = NULL,
  y.cuts = NULL,
  nfeatures = 2000,
  verbose = TRUE,
  ...
)
# S3 method for StdAssay
FindSpatiallyVariableFeatures(
  object,
  layer = "scale.data",
  spatial.location,
  selection.method = c("markvariogram", "moransi"),
  features = NULL,
  r.metric = 5,
  x.cuts = NULL,
  y.cuts = NULL,
  nfeatures = nfeatures,
  verbose = TRUE,
  ...
)

Arguments

object

A Seurat object, assay, or expression matrix

...

Arguments passed to other methods

spatial.location

Coordinates for each cell/spot/bead

selection.method

Method for selecting spatially variable features.

markvariogram: See RunMarkVario for details
moransi: See RunMoransI for details.

r.metric

r value at which to report the "trans" value of the mark variogram

x.cuts

Number of divisions to make in the x direction, helps define the grid over which binning is performed

y.cuts

Number of divisions to make in the y direction, helps define the grid over which binning is performed

verbose

Print messages and progress

slot

Slot in the Assay to pull data from

features

If provided, only compute on given features. Otherwise, compute for all features.

nfeatures

Number of features to mark as the top spatially variable.

assay

Assay to pull the features (marks) from

image

Name of image to pull the coordinates from

layer

Layer in the Assay5 to pull data from