R/data.R

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

#' scRNA-seq gene expression counts from GSE138852
#'
#' A single-cell atlas of the human cortex reveals drivers of transcriptional changes in Alzheimer’s disease in specific cell subpopulations
#'
#' @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
#'
#' @format A matrix with columns:
#' \describe{
#'  \item{AD}{Human Entorhinal Cortex of aged individuals with Alzheimer’s disease (AD)}
#'  \item{Healthy}{Human Entorhinal Cortex of aged Healthy individuals, the control.}
#' }
#' @examples
#' \dontrun{
#'  gene_counts
#' }
"gene_counts"

#' A subset of GSE138852 scRNA-seq gene expression counts
#'
#' 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.
#'
#' @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
#'
#' @format A matrix with columns:
#' \describe{
#'  \item{AD}{Human Entorhinal Cortex of aged individuals with Alzheimer’s disease (AD)}
#'  \item{Healthy}{Human Entorhinal Cortex of aged Healthy individuals, the control.}
#' }
#' @examples
#' \dontrun{
#'  gene_counts_small
#' }
"gene_counts_small"

# [END]