R/pbmc_facs_z.R

#' @name pbmc_facs_z
#'
#' @title Differential Expression Results from PBMC Data
#'
#' @docType data
#'
#' @description Results from differential expression analysis of
#' single-cell RNA-seq profiles generated from bead-enriched
#' subpopulations of peripheral blood mononuclear cell (PBMCs). The
#' data were downloaded from
#' \url{https://support.10xgenomics.com/single-cell-gene-expression/datasets}.
#'
#' @format \code{pbmc_facs_z} is a matrix of z-scores, with rows
#' corresponding to (human) genes and columns corresponding to
#' differential expression analyses; differential expression was
#' measured separately for each cell type (B cells, T cells, natural
#' killer cells, CD14+ cells and CD34+ cells).
#'
#' @references
#' Zheng et al (2017). Massively parallel digital transcriptional
#' profiling of single cells. \emph{Nature Communications} \bold{8},
#' 14049. \url{https://doi.org/10.1038/ncomms14049}
#' 
#' @keywords data
#'
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stephenslab/pathways documentation built on March 17, 2021, 11:03 p.m.