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 embeddings matrix (required)
Feature loadings matrix (optional)
Projected feature loadings matrix (optional)
Name of assay used to generate
DimReduc global/persistent? If so, it will not be
removed when removing its associated assay
A vector of standard deviations
Key for the
DimReduc, must be alphanumerics followed by an underscore
JackStrawData-class object associated with
Utility slot for storing additional data associated with the
DimReduc (e.g. the total variance of the PCA)
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