scDHA: Single-Cell Decomposition using Hierarchical Autoencoder (original) (raw)
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>).
| Version: | 1.2.3 |
|---|---|
| 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 |
| Suggests: | testthat, knitr, mclust |
| Published: | 2025-09-23 |
| DOI: | 10.32614/CRAN.package.scDHA |
| Author: | Ha Nguyen [cre], Duc Tran [aut], Tin Nguyen [fnd], Hao Chen [ctb] |
| Maintainer: | Ha Nguyen |
| BugReports: | https://github.com/duct317/scDHA/issues |
| License: | GPL-3 |
| Copyright: | see file |
| URL: | https://github.com/duct317/scDHA |
| NeedsCompilation: | yes |
| Citation: | scDHA citation info |
| Materials: | README, NEWS |
| CRAN checks: | scDHA results |
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