DESCRIPTION

Package: escheR
Title: Unified multi-dimensional visualizations with Gestalt principles
Version: 1.3.2
Authors@R: c(
    person("Boyi", "Guo",
           email = "boyi.guo.work@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-2950-2349")),
    person(c("Stephanie", "C."), "Hicks",  role = c("aut"), 
            email = "shicks19@jhu.edu", 
            comment = c(ORCID = "0000-0002-7858-0231")),
    person(c("Erik", "D."), "Nelson",
           email = "erik.nelson116@gmail.com", role = c("ctb"),
           comment = c(ORCID = "0000-0001-8477-0982"))
            )
Description: The creation of effective visualizations is a fundamental component
    of data analysis. In biomedical research, new challenges are emerging to 
    visualize multi-dimensional data in a 2D space, but current data 
    visualization tools have limited capabilities. To address this problem,
    we leverage Gestalt principles to improve the design and interpretability
    of multi-dimensional data in 2D data visualizations, layering aesthetics
    to display multiple variables. The proposed visualization can be applied
    to spatially-resolved transcriptomics data, but also broadly to data
    visualized in 2D space, such as embedding visualizations. We provide this
    open source R package escheR, which is built off of the state-of-the-art
    ggplot2 visualization framework and can be seamlessly integrated into
    genomics toolboxes and workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
biocViews: 
    Spatial, 
    SingleCell,
    Transcriptomics,
    Visualization,
    Software
Depends:
    ggplot2,
    R (>= 4.3)
Imports: 
    SpatialExperiment (>= 1.6.1),
    SingleCellExperiment, 
    rlang,
    SummarizedExperiment
BugReports: https://github.com/boyiguo1/escheR/issues
URL: https://github.com/boyiguo1/escheR
Suggests: 
    STexampleData,
    BumpyMatrix,
    knitr,
    rmarkdown,
    BiocStyle,
    ggpubr,
    scran,
    scater,
    scuttle,
    Seurat,
    hexbin
VignetteBuilder: knitr