scDHA: Single-Cell Decomposition using Hierarchical Autoencoder
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: |
1.2.2 |
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: |
2024-04-02 |
DOI: |
10.32614/CRAN.package.scDHA |
Author: |
Ha Nguyen [cre],
Duc Tran [aut],
Tin Nguyen [fnd] |
Maintainer: |
Ha Nguyen <hvn0006 at auburn.edu> |
BugReports: |
https://github.com/duct317/scDHA/issues |
License: |
GPL-3 |
Copyright: |
see file COPYRIGHTS |
URL: |
https://github.com/duct317/scDHA |
NeedsCompilation: |
yes |
Citation: |
scDHA citation info |
Materials: |
README NEWS |
CRAN checks: |
scDHA results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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https://CRAN.R-project.org/package=scDHA
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