DESCRIPTION

Package: scdneySpatialBiocAsia2024
Title: Unlocking single cell spatial omics analyses with scdney
Version: 2.0.1
Authors@R: 
    c(person(given = "Farhan", family = "Ameen", role = c("aut", "cre"), email = "farhan.ameen@sydney.edu.au"),
      person(given = "Alex", family = "Qin", email = "alex.qin@sydney.edu.au", role = c("aut")),
      person(given = "Shreya", family = "Rao", email = "shreya.rao@sydney.edu.au", role = c("aut")),
      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: 7.3.2
Depends: 
    R (>= 3.5.0),
    Biobase,
    SpatialDatasets,
    simpleSeg,
    FuseSOM,
    lisaClust,
    spicyR,
    Statial,
    ClassifyR,
    tidySingleCellExperiment,
    tidyverse,
    SingleCellExperiment,
    cytomapper,
    scater,
    glmnet,
    knitr
Suggests: 
    rmarkdown,
    pkgdown
URL: https://sydneybiox.github.io/scdneySpatial_BiocAsia2024/
BugReports: https://github.com/SydneyBioX/scdneySpatial_BiocAsia2024/issues/new/choose
VignetteBuilder: knitr
DockerImage: ghcr.io/sydneybiox/scdneyspatial_biocasia2024:latest