gene_counts_small: A subset of GSE138852 scRNA-seq gene expression counts

In ff98li/scRGNet: Perform scRNA-seq Analysis using Single-cell Graphical Neural Network (scGNN) Framework

Description

A single-cell atlas of the human cortex reveals drivers of transcriptional changes in Alzheimer’s disease in specific cell subpopulations. This subset has 1000 most variant genes, and cells with at most 85% of zero expression values. It is intended to be used for a quick function demo rather than a full analysis.

Usage

gene_counts_small

Format

A matrix with columns:

AD

Human Entorhinal Cortex of aged individuals with Alzheimer’s disease (AD)

Healthy

Human Entorhinal Cortex of aged Healthy individuals, the control.

Source

Duke-NUS Medical School, Singapore.

References

Grubman A, Chew G, Ouyang JF, Sun G et al. A single-cell atlas of entorhinal cortex from individuals with Alzheimer's disease reveals cell-type-specific gene expression regulation. Nat Neurosci 2019 Dec;22(12):2087-2097. PMID: 31768052

Examples

## Not run: 
 gene_counts_small

## End(Not run)

ff98li/scRGNet documentation built on Jan. 14, 2022, 4:58 a.m.