R: The Dimensional Reduction Class

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.embeddings`

  Cell embeddings matrix (required)

`feature.loadings`

  Feature loadings matrix (optional)

`feature.loadings.projected`

  Projected feature loadings matrix (optional)

`assay.used`

  Name of assay used to generate `DimReduc` object

`global`

  Is this `DimReduc` global/persistent? If so, it will not be removed when removing its associated assay

`stdev`

  A vector of standard deviations

`key`

  Key for the `DimReduc`, must be alphanumeric characters followed by an underscore

`jackstraw`

  A `JackStrawData-class` object associated with this `DimReduc`

`misc`

  Utility slot for storing additional data associated with the `DimReduc` (e.g. the total variance of the PCA)

[Package SeuratObject version 4.0.3 Index]