| Assay-class {SeuratObject} | R Documentation |
The Assay Class
Description
The Assay object is the basic unit of Seurat; each Assay stores raw, normalized, and scaled data as well as cluster information, variable features, and any other assay-specific metadata. Assays should contain single cell expression data such as RNA-seq, protein, or imputed expression data.
Slots
countsUnnormalized data such as raw counts or TPMs
dataNormalized expression data
scale.dataScaled expression data
assay.origOriginal assay that this assay is based off of. Used to track assay provenance
var.featuresVector of features exhibiting high variance across single cells
meta.featuresFeature-level metadata
miscA named list of unstructured miscellaneous data
keyA one-length character vector with the object's key; keys must be one or more alphanumeric characters followed by an underscore “
_” (regex pattern “^[a-zA-Z][a-zA-Z0-9]*_$”)
See Also
v3 Assay object, validity, and interaction methods:
$.Assay(),
Assay-validity,
CreateAssayObject(),
[.Assay(),
[[.Assay(),
dim.Assay(),
dimnames.Assay(),
merge.Assay(),
split.Assay(),
subset.Assay()