Package: scCAN
Type: Package
Title: Single-Cell Clustering using Autoencoder and Network Fusion
Version: 1.0.4
Authors@R: c(
    person("Bang", "Tran", , "bang.t.s@nevada.unr.edu", role = c("aut", "cre")),
    person("Duc", "Tran", role = c("aut")),
    person("Hung", "Nguyen", role = c("aut")),
    person("Tin", "Nguyen", role = c("fnd"))
    )
Maintainer: Bang Tran <bang.t.s@nevada.unr.edu>
Description: A single-cell Clustering method using 'Autoencoder' and Network fusion ('scCAN') for segregating the cells from the high-dimensional 'scRNA-Seq' data. The software automatically determines the optimal number of clusters and then partitions the cells in a way such that the results are robust to noise and dropouts. 'scCAN' is fast and it supports Windows, Linux, and Mac OS.
License: LGPL
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0), scDHA, FNN, purrr
Imports: stats
RoxygenNote: 7.1.2
Suggests: knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-04-05 23:47:32 UTC; bangt
Author: Bang Tran [aut, cre],
  Duc Tran [aut],
  Hung Nguyen [aut],
  Tin Nguyen [fnd]
Repository: CRAN
Date/Publication: 2022-04-06 00:10:02 UTC
Built: R 4.0.5; ; 2022-04-18 03:24:49 UTC; windows
