DESCRIPTION

Package: scDotPlot
Title: Cluster a Single-cell RNA-seq Dot Plot
Version: 1.1.0
Authors@R: c(
    person(given = c("Benjamin", "I"),
           family = "Laufer",
           role = c("aut", "cre"),
           email = "blaufer@gmail.com"),
    person(given = c("Brad", "A"),
           family = "Friedman",
           role = c("aut")))
Description: Dot plots of single-cell RNA-seq data allow for an examination of the relationships between cell groupings (e.g. clusters) and marker gene expression. The scDotPlot package offers a unified approach to perform a hierarchical clustering analysis and add annotations to the columns and/or rows of a scRNA-seq dot plot. It works with SingleCellExperiment and Seurat objects as well as data frames.
License: Artistic-2.0
URL: https://github.com/ben-laufer/scDotPlot
BugReports: https://github.com/ben-laufer/scDotPlot/issues
biocViews: 
    Software,
    Visualization,
    DifferentialExpression,
    GeneExpression,
    Transcription,
    RNASeq,
    SingleCell,
    Sequencing,
    Clustering
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Depends:
    R (>= 4.4.0)
Imports: 
    aplot,
    BiocGenerics,
    cli,
    dplyr,
    ggplot2,
    ggsci,
    ggtree,
    grDevices,
    magrittr,
    purrr,
    rlang,
    scales,
    scater,
    Seurat,
    SingleCellExperiment,
    stats,
    stringr,
    tibble,
    tidyr
Suggests: 
    AnnotationDbi,
    BiocStyle,
    knitr,
    rmarkdown,
    scran,
    scRNAseq,
    scuttle,
    SeuratObject,
    testthat,
    vdiffr
VignetteBuilder: knitr
Config/testthat/edition: 3
LazyData: false