Load10X_Spatial: Load a 10x Genomics Visium Spatial Experiment into a 'Seurat'...

Load10X_SpatialR Documentation

Load a 10x Genomics Visium Spatial Experiment into a Seurat object

Description

Load a 10x Genomics Visium Spatial Experiment into a Seurat object

Usage

Load10X_Spatial(
  data.dir,
  filename = "filtered_feature_bc_matrix.h5",
  assay = "Spatial",
  slice = "slice1",
  bin.size = NULL,
  filter.matrix = TRUE,
  to.upper = FALSE,
  image = NULL,
  ...
)

Arguments

data.dir

Directory containing the H5 file specified by filename and the image data in a subdirectory called spatial

filename

Name of H5 file containing the feature barcode matrix

assay

Name of the initial assay

slice

Name for the stored image of the tissue slice

bin.size

Specifies the bin sizes to read in - defaults to c(16, 8)

filter.matrix

Only keep spots that have been determined to be over tissue

to.upper

Converts all feature names to upper case. Can be useful when analyses require comparisons between human and mouse gene names for example.

image

VisiumV1/VisiumV2 instance(s) - if a vector is passed in it should be co-indexed with `bin.size`

...

Arguments passed to Read10X_h5

Value

A Seurat object

Examples

## Not run: 
data_dir <- 'path/to/data/directory'
list.files(data_dir) # Should show filtered_feature_bc_matrix.h5
Load10X_Spatial(data.dir = data_dir)

## End(Not run)


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