DESCRIPTION

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"))
    )
Description: Building on single-cell Consensus Clusters of Encoded Subspaces (scCCESS), a clustering stability metric based approach for the number of cell type estimation. 
License: GPL
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
RoxygenNote: 7.2.3
BugReports: https://github.com/PYangLab/scCCESS/issues