sc_sim: A simulated single-cell RNA-seq dataset

In neurorestore/Augur: Cell type prioritization in high-dimensional single-cell data

A simulated single-cell RNA-seq dataset

Description

A toy simulated scRNA-seq dataset, used to demonstrate Augur. The dataset contains three populations of cells (CellTypeA, CellTypeB, and CellTypeC), each represented by 200 cells. Each cell type has approximately half of its cells in one of two experimental conditions, denoted as "treatment" and "control." The cell types have varying proportions of genes differentially expressed in response to the treatment: cell type A has 5% of its genes DE, cell type B has 25% of its genes DE, and cell type C has 50% of its genes DE.

Usage

data(sc_sim)

Format

a Seurat object with dimensions 15,697 genes x 600 cells

Details

The dataset was simulated with splatter, with simulation parameters estimated from the Kang et al., 2018 dataset. The data is provided as a Seurat object.

neurorestore/Augur documentation built on Feb. 28, 2024, 3:03 a.m.