DESCRIPTION

Package: SingleR
Type: Package
Title: Reference-based single-cell RNA-seq annotation
Version: 1.0.1
Author: Dvir Aran
Maintainer: Dvir Aran <dvir.aran@ucsf.edu>
Description: A computational method for unbiased cell type recognition of scRNA-seq. SingleR leverages reference transcriptomic datasets of pure cell types to infer the cell of origin of each of the single cells independently. SingleR’s annotations combined with Seurat, a processing and analysis package designed for scRNA-seq, provide a powerful tool for the investigation of scRNA-seq data
License: GPL 3.0
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
bioCviews:
Imports: BiocManager,
    RColorBrewer,
    outliers,
    matrixStats,
    plyr,
    dplyr,
    ggplot2,
    pbmcapply,
    Matrix,
    GSEABase,
    GSVA,
    pheatmap,
    parallel,
    devtools,
    doFuture,
    data.table,
    foreach,
    singscore,
    doParallel
Suggests: Seurat (>= 2.2)