DESCRIPTION

Package: ASURAT
Type: Package
Title: Functional annotation-driven unsupervised clustering for single-cell data
Version: 1.0.2
Authors@R: c(person("Keita", "Iida", email = "kiida@protein.osaka-u.ac.jp",
             role = c("aut", "cre"),
             comment = c(ORCID = "0000-0002-1076-830X")),
             person("Johannes Nicolaus", "Wibisana",
                    email = "nico@protein.osaka-u.ac.jp", role = c("ctb")))
Description: ASURAT is a software for single-cell data analysis.
    Using ASURAT, one can simultaneously perform unsupervised clustering and
    biological interpretation in terms of cell type, disease, biological process,
    and signaling pathway activity. Inputting a single-cell RNA-seq data and
    knowledge-based databases, such as Cell Ontology, Gene Ontology, KEGG, etc.,
    ASURAT transforms gene expression tables into original multivariate tables,
    termed sign-by-sample matrices (SSMs).
License: GPL-3 + file LICENSE
biocViews: GeneExpression, SingleCell, Sequencing, Clustering, GeneSignaling
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: TRUE
Depends:
    R (>= 4.0.0)
Imports:
    SingleCellExperiment,
    SummarizedExperiment,
    S4Vectors,
    Rcpp (>= 1.0.7),
    cluster,
    utils,
    plot3D,
    ComplexHeatmap,
    circlize,
    grid,
    grDevices,
    graphics
Suggests:
    ggplot2,
    TENxPBMCData,
    dplyr,
    Rtsne,
    Seurat,
    AnnotationDbi,
    BiocGenerics,
    stringr,
    org.Hs.eg.db,
    knitr,
    rmarkdown,
    testthat (>= 3.0.0)
RoxygenNote: 7.1.2
LinkingTo:
    Rcpp
Config/testthat/edition: 3