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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
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:

Reference manual: scDHA.pdf
Vignettes: scDHA package manual

Downloads:

Package source: scDHA_1.2.2.tar.gz
Windows binaries: r-devel: scDHA_1.2.2.zip, r-release: scDHA_1.2.2.zip, r-oldrel: scDHA_1.2.2.zip
macOS binaries: r-release (arm64): scDHA_1.2.2.tgz, r-oldrel (arm64): scDHA_1.2.1.tgz, r-release (x86_64): scDHA_1.2.2.tgz, r-oldrel (x86_64): scDHA_1.2.2.tgz
Old sources: scDHA archive

Reverse dependencies:

Reverse imports: ScRNAIMM

Linking:

Please use the canonical form https://CRAN.R-project.org/package=scDHA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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