cellassign/DESCRIPTION at master · liaoyjruby/cellassign · GitHub

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Package: cellassign
Version: 0.99.21
Title: Automated, probabilistic assignment of scRNA-seq to cell types
Description: CellAssign assigns cells measured with scRNA-seq to both known and de novo cell types based on the declaring certain genes as markers for different cell types.
Authors@R: c(
  person("Allen", "Zhang", email = "alzhang@bccrc.ca", role = c("aut")),
  person("Kieran", "Campbell", email = "kieranrcampbell@gmail.com", role = c("aut", "cre"))
  )
License: Apache License (>= 2.0)
Encoding: UTF-8
Depends: R (>= 3.6)
Imports:
    methods,
    stats,
    tensorflow,
    SummarizedExperiment,
    scran
Suggests:
    knitr,
    SingleCellExperiment,
    rmarkdown,
    BiocStyle,
    dplyr,
    pheatmap,
    testthat,
    limma,
    org.Hs.eg.db,
    edgeR,
    matrixStats,
    plyr,
    magrittr,
    reticulate,
    magick
biocViews:
  Software,
  Transcriptomics,
  GeneExpression,
  RNASeq,
  SingleCell
LazyData: true
ByteCompile: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.0.2
VignetteBuilder: knitr
BugReports: https://github.com/irrationone/cellassign/issues