R/NowakowskiCortexData.R

In drisso/scRNAseq: Collection of Public Single-Cell RNA-Seq Datasets

#' Obtain the Nowakowski cortex data
#'
#' Obtain the human cortex single-cell RNA-seq dataset from Nowakowski et al. (2017).
#'
#' @param ensembl Logical scalar indicating whether the output row names should contain Ensembl identifiers.
#' @param location Logical scalar indicating whether genomic coordinates should be returned.
#' 
#' @details
#' Column metadata includes the presumed cell type (\code{WGCNAcluster}), patient and tissue region of origin. 
#' A variety of dimensionality reduction results are also provided.
#'
#' If \code{ensembl=TRUE}, the gene symbols are converted to Ensembl IDs in the row names of the output object.
#' Rows with missing Ensembl IDs are discarded, and only the first occurrence of duplicated IDs is retained.
#'
#' If \code{location=TRUE}, the coordinates of the Ensembl gene models are stored in the \code{\link{rowRanges}} of the output.
#' This is only performed when \code{ensembl=TRUE}.
#'
#' All data are downloaded from ExperimentHub and cached for local re-use.
#' Specific resources can be retrieved by searching for \code{scRNAseq/nowakowski-cortex}.
#'
#' @return A \linkS4class{SingleCellExperiment} object with a single matrix of TPMs.
#' The \code{\link{reducedDims}} contains an assortment of dimensionality reduction results.
#'
#' @author Aaron Lun
#'
#' @references
#' Nowakowski S et al. (2017). 
#' Spatiotemporal gene expression trajectories reveal developmental hierarchies of the human cortex. 
#' \emph{Science} 358, 1318-1323.
#'
#' @examples
#' sce <- NowakowskiCortexData()
#' 
#' @export
#' @importFrom SingleCellExperiment reducedDims<-
NowakowskiCortexData <- function(ensembl=FALSE, location=TRUE) {
    version <- "2.6.0"

    hub <- ExperimentHub()
    sce <- .create_sce(file.path("nowakowski-cortex", version), hub=hub, has.rowdata=FALSE, assays="tpm")

    reducedDims(sce) <- hub[[which(hub$rdatapath==file.path("scRNAseq/nowakowski-cortex", version, "reddims.rds"))]]

    .convert_to_ensembl(sce, 
        symbols=rownames(sce), 
        species="Hs",
        ensembl=ensembl,
        location=location)
}