scCCESS/DESCRIPTION at master · PYangLab/scCCESS · GitHub

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Package: scCCESS
Type: Package
Title: scCCESS: Single-cell Consensus Clusters of Encoded Subspaces
Version: 0.3.3
Authors@R: c(
    person("Thomas A.", "Geddes", role = c("aut")),
    person("Lijia", "Yu", email = "yulj2010@gmail.com", role = c("aut", "cre")),
    person("Pengyi", "Yang", email = "pengyi.yang@sydney.edu.au", role = c("aut", "cph"))
    )
Author: Thomas A. Geddes, Lijia Yu, Pengyi Yang
Maintainer: Lijia Yu <yulj2010@gmail.com>
Description: Implements single-cell Consensus Clusters of Encoded Subspaces
    (scCCESS), an autoencoder-based ensemble clustering framework for
    single-cell RNA-seq data, together with a clustering stability approach for
    estimating the number of cell types.
License: GPL-3
Encoding: UTF-8
LazyData: false
Depends:
    R (>= 4.0.0)
biocViews:
Imports:
    keras,
    clue,
    parallel,
    aricode,
    tensorflow (>= 2.2.0),
    methods,
    stats,
    utils,
    Matrix
Suggests:
    SIMLR,
    SingleCellExperiment,
    knitr,
    rmarkdown,
    testthat (>= 3.0.0)
RoxygenNote: 7.2.3
URL: https://github.com/PYangLab/scCCESS
BugReports: https://github.com/PYangLab/scCCESS/issues
Config/testthat/edition: 3
VignetteBuilder: knitr