The Dimensional Reduction Class
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.
cell.embeddingsCell embeddings matrix (required)
feature.loadingsFeature loadings matrix (optional)
feature.loadings.projectedProjected feature loadings matrix (optional)
assay.usedName of assay used to generate DimReduc object
globalIs this DimReduc global/persistent? If so, it will not be
removed when removing its associated assay
stdevA vector of standard deviations
keyKey for the DimReduc, must be alphanumeric characters
followed by an underscore
jackstrawA JackStrawData-class object associated with
this DimReduc
miscUtility slot for storing additional data associated with the
DimReduc (e.g. the total variance of the PCA)
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