| DimReduc-class {SeuratObject} | R Documentation |
The Dimensional Reduction Class
Description
The DimReduc object stores a dimensionality reduction taken out in Seurat; each DimReduc consists of a cell embeddings matrix, a feature loadings matrix, and a projected feature loadings matrix.
Slots
cell.embeddingsCell embeddings matrix (required)
feature.loadingsFeature loadings matrix (optional)
feature.loadings.projectedProjected feature loadings matrix (optional)
assay.usedName of assay used to generate
DimReducobjectglobalIs this
DimReducglobal/persistent? If so, it will not be removed when removing its associated assaystdevA vector of standard deviations
jackstrawA
JackStrawData-classobject associated with thisDimReducmiscA 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
Dimensional reduction object, validity, and interaction methods
CreateDimReducObject(),
DimReduc-validity,
[.DimReduc(),
[[.DimReduc(),
dim.DimReduc(),
merge.DimReduc(),
print.DimReduc(),
subset.DimReduc()