seurat_obj: ProcessedSingle-Cell Data

In RepeatedHighDim: Methods for High-Dimensional Repeated Measures Data

ProcessedSingle-Cell Data

Description

A pre-processed Seurat object containing synthetic single cell data.

Format

A Seurat object with the following characteristics:

Assays

RNA assay with 200 features

Cells

150 single-cell samples

Variable features

100 most variable genes

Layers

counts (raw), data (normalized), scale.data (scaled)

Dimensional reductions

PCA, t-SNE

Normalization

LogNormalize with scale factor 10,000

Details

The object contains synthetic data with 150 cells for 3 cell types. Processing steps match the Seurat tutorial and include:

• Identification of 100 most variable features

• Data scaling and centering

• PCA dimensional reduction (20 principal components)

• t-SNE dimensional reduction

RepeatedHighDim documentation built on April 15, 2025, 1:28 a.m.