DESCRIPTION

Package: MSTExplorer
Title: Multi-Scale Target Explorer
Version: 1.0.4
Authors@R:
    c(
    person(given = "Brian",
           family = "Schilder",
           role = c("aut","cre"),
           email = "brian_schilder@alumni.brown.edu",
           comment = c(ORCID = "0000-0001-5949-2191")),
    person(given = "Robert",
           family = "Gordon-Smith",
           role = c("aut","ctb"),
           email = "b.gordon-smith20@imperial.ac.uk",
           comment = c(ORCID = "0000-0001-6698-7387")),
    person(given = "Nathan",
           family = "Skene",
           role = c("aut"),
           email = "nathan.skene@gmail.com",
           comment = c(ORCID = "0000-0002-6807-3180"))) 
Description: Multi-Scale Target Explorer (`MSTExplorer`) systematically identifies, prioritises, 
  and visualises cell-type-specific gene therapy targets across the phenome.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/neurogenomics/MSTExplorer
BugReports: https://github.com/neurogenomics/MSTExplorer/issues
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Depends: 
    R (>= 4.1)
Imports:
    HPOExplorer (>= 1.0.0),
    KGExplorer,
    orthogene,
    data.table,
    EWCE (>= 1.0.0),
    parallel,
    stringr,
    piggyback,
    stats,
    methods,
    tools,
    scales,
    ggplot2,
    plotly,
    pals,
    dplyr,
    GeneOverlap,
    future,
    furrr,
    tidygraph,
    rstatix
Suggests: 
    rmarkdown,
    knitr,
    qpdf,
    DT,
    testthat (>= 3.0.0),
    heatmaply,
    ComplexHeatmap, 
    rvest,
    patchwork,
    ggpubr, 
    igraph,
    ggdendro,
    gginnards,
    ggstatsplot,
    paletteer,
    tibble,
    tidytext,
    phenomix
Remotes: 
  github::neurogenomics/HPOExplorer,
  github::neurogenomics/KGExplorer,
  github::neurogenomics/phenomix,
  github::NathanSkene/EWCE
VignetteBuilder: knitr
Config/testthat/edition: 3
biocViews:
    Genetics, Preprocessing, GeneTarget, SystemsBiology, 
    BiomedicalInformatics, FunctionalGenomics, 
    GeneExpression, GeneSetEnrichment,
    RNASeq, SingleCell, Software, Transcription, Visualization
LazyData: true