Package: scDHA
Type: Package
Title: Single-Cell Decomposition using Hierarchical Autoencoder
Version: 1.2.3
Authors@R: c(
    person(given = "Ha", family = "Nguyen", email = "hvn0006@auburn.edu", role = c("cre")),
    person(given = "Duc", family = "Tran", email = "duct@nevada.unr.edu", role = c("aut")),
    person(given = "Tin", family = "Nguyen", role = c("fnd")),
    person(given = "Hao", family = "Chen", role = c("ctb"))
    )
Maintainer: Ha Nguyen <hvn0006@auburn.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: 7.3.3
Suggests: testthat, knitr, mclust
NeedsCompilation: yes
VignetteBuilder: knitr
URL: https://github.com/duct317/scDHA
BugReports: https://github.com/duct317/scDHA/issues
Packaged: 2025-09-23 15:05:46 UTC; hanguyen
Author: Ha Nguyen [cre],
  Duc Tran [aut],
  Tin Nguyen [fnd],
  Hao Chen [ctb]
Repository: CRAN
Date/Publication: 2025-09-23 22:40:03 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2025-12-07 04:10:42 UTC; windows
Archs: x64
