Package: scDHA
Type: Package
Title: Single-Cell Decomposition using Hierarchical Autoencoder
Version: 1.2.1
Authors@R: c(
    person("Duc", "Tran", , "duct@nevada.unr.edu", role = c("aut", "cre")),
    person("Tin", "Nguyen", role = c("fnd")),
    person("Klaus", "Schliep", role = c("ctb")),
    person("Hao", "Chen", role = c("ctb")),
    person("Shibiao", "Wan", role = c("ctb"))
    )
Maintainer: Duc Tran <duct@nevada.unr.edu>
Description: Provides a fast and accurate pipeline for single-cell analyses. 
    The 'scDHA' software package can perform clustering, dimension reduction and visualization, classification, and time-trajectory inference on single-cell data (Tran et.al. (2021) <DOI:10.1038/s41467-021-21312-2>).
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4)
Imports: matrixStats, foreach, doParallel, igraph, Matrix, uwot,
        cluster, Rcpp, RcppParallel, RcppAnnoy, methods, torch (>=
        0.3.0), RhpcBLASctl, coro
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, RcppAnnoy
RoxygenNote: 7.2.0
Suggests: testthat, knitr, mclust
NeedsCompilation: yes
VignetteBuilder: knitr
URL: https://github.com/duct317/scDHA
BugReports: https://github.com/duct317/scDHA/issues
Packaged: 2023-04-03 20:15:58 UTC; dtran
Author: Duc Tran [aut, cre],
  Tin Nguyen [fnd],
  Klaus Schliep [ctb],
  Hao Chen [ctb],
  Shibiao Wan [ctb]
Repository: CRAN
Date/Publication: 2023-04-04 12:10:02 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-12 23:47:52 UTC; windows
Archs: i386, x64
