DESCRIPTION

Package: ScdneySpatial
Title: Unlocking single cell spatial omics analyses with scdney
Version: 2.0.0
Authors@R: c(person(given = "Farhan", family = "Ameen", role = c("aut", "cre"), email = "farhan.ameen@sydney.edu.au"),
      person("Alex", "Qin", email = "alex.qin@sydney.edu.au", role = c("aut")),
      person("Nick", "Robertson", email = "nicholas.robertson@sydney.edu.au", role = c("aut")),
      person(given = "Shila", family = "Ghazanfar", role = c("aut"), email = "shila.ghazanfar@sydney.edu.au"),
      person(given = "Ellis", family = "Patrick", role = c("aut"), email = "ellis.patrick@sydney.edu.au"))
Description: This workshop introduces an analysitical framwork for analysisng data from high dimensional spatial omics technologies, 
    using functionality from packages developed by the Sydney Precision Data Science Center.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Depends: 
    Biobase,
    simpleSeg,
    scClassify,
    scHOT,
    FuseSOM,
    spicyR,
    lisaClust,
    Statial,
    scFeatures,
    ClassifyR,
    SpatialDatasets,
    scater,
    tidyverse,
    SingleCellExperiment,
    STexampleData,
    cytomapper,
    tidySingleCellExperiment,
    scuttle,
    batchelor,
    plotly,
    BumpyMatrix,
    SpatialExperiment,
    ggsurvfit,
    reshape,
    glmnet,
    ggplot2
Suggests: 
    knitr,
    rmarkdown,
    pkgdown
URL: https://sydneybiox.github.io/ScdneySpatial/
BugReports: https://github.com/SydneyBioX/ScdneySpatial/issues/new/choose
VignetteBuilder: knitr
DockerImage: ghcr.io/sydneybiox/scdneyspatial:latest