Load a Visium spatial dataset as a SingleCellExperiment.
readVisium(dirname)
| dirname | Path to spaceranger output directory (e.g. "sampleID/outs/").
This directory must contain the counts matrix and feature/barcode TSVs in
|
|---|
SingleCellExperiment containing the counts matrix in counts
and spatial data in colData. Array coordinates for each spot are
stored in columns row and col, while image coordinates are
stored in columns imagerow and imagecol.
We store two variables associated with downstream BayesSpace
functions in a list called BayesSpace.data in the
SingleCellExperiment's metadata.
platform is set to "Visium", and is used to determine spot
layout and neighborhood structure.
is.enhanced is set to FALSE to denote the object
contains spot-level data.
if (FALSE) { sce <- readVisium("path/to/outs/") }