pseudo_sce: Example 'SingleCellExperiment'

In neurogenomics/scNLP: NLP for Single-cell Omics.

Example SingleCellExperiment

Description

Contains pseudobulk data (mean expression per cell-type) from 11 different datasets. Mean expression matrices have been downsampled to 1,000/21,000 genes.

Usage

pseudo_sce

Format

An object of class SingleCellExperiment with 2000 rows and 801 columns.

Examples

## Not run: 
set.seed(2021)
pseudo_sce <- scKirby::ingest_data(scNLP::pseudo_seurat, save_output = F)
SingleCellExperiment::reducedDim(pseudo_sce,"UMAP") <- data.frame(SummarizedExperiment::colData(pseudo_sce)[,c("UMAP.1","UMAP.2")])
usethis::use_data(pseudo_sce, overwrite = T)

## End(Not run)

neurogenomics/scNLP documentation built on Oct. 8, 2024, 5:30 p.m.