scINSIGHT-class: The scINSIGHT Class

In scINSIGHT: Interpretation of Heterogeneous Single-Cell Gene Expression Data

The scINSIGHT Class

Description

The scINSIGHT object is created from two or more single cell datasets. To construct a scINSIGHT object, the user needs to provide at least two normalized expression (or another single-cell modality) matrices and the condition vector.

Details

The key slots used in the scINSIGHT object are described below.

Slots

norm.data

List of normalized expression matrices (genes by cells). Each matrix should have the same number and name of genes.

condition

Vector specifying each sample's condition name.

W_1

List of W_{\ell1} estimated by scINSIGHT, names correspond to sample names.

W_2

List of W_{\ell2} estimated by scINSIGHT, names correspond to sample names.

H

List of H estimated by scINSIGHT, names correspond to condition names.

V

Matrix V estimated by scINSIGHT.

norm.W_2

List of W_{\ell2} after normalization. Recommended for downstream analysis.

clusters

List of cluster results.

parameters

List of selected parameters, including K and λ.

scINSIGHT documentation built on May 30, 2022, 1:08 a.m.