DimReduc-class: The Dimmensional Reduction Class

In lambdamoses/SeuratBasics: Slimmed down version of Seurat

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 alphanumerics 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)

lambdamoses/SeuratBasics documentation built on May 6, 2020, 9:32 a.m.