Package: scDHA 1.2.2

Ha Nguyen

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>).

Authors:Ha Nguyen [cre], Duc Tran [aut], Tin Nguyen [fnd]

scDHA_1.2.2.tar.gz
scDHA_1.2.2.zip(r-4.5)scDHA_1.2.2.zip(r-4.4)scDHA_1.2.2.zip(r-4.3)
scDHA_1.2.2.tgz(r-4.4-x86_64)scDHA_1.2.2.tgz(r-4.4-arm64)scDHA_1.2.2.tgz(r-4.3-x86_64)scDHA_1.2.2.tgz(r-4.3-arm64)
scDHA_1.2.2.tar.gz(r-4.5-noble)scDHA_1.2.2.tar.gz(r-4.4-noble)
scDHA_1.2.2.tgz(r-4.4-emscripten)scDHA_1.2.2.tgz(r-4.3-emscripten)
scDHA.pdf |scDHA.html✨
scDHA/json (API)
NEWS

# Install 'scDHA' in R:

install.packages('scDHA', repos = c('https://duct317.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/duct317/scdha/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

Goolam - Goolam
Goolam_result - Goolam_result

On CRAN:

4 exports 36 stars 2.90 score 44 dependencies 2 dependents 20 scripts 295 downloads

Last updated 5 months agofrom:807ed96ce2. Checks:OK: 8 ERROR: 1. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 12 2024
R-4.5-win-x86_64	OK	Sep 12 2024
R-4.5-linux-x86_64	OK	Sep 12 2024
R-4.4-win-x86_64	OK	Sep 12 2024
R-4.4-mac-x86_64	OK	Sep 12 2024
R-4.4-mac-aarch64	OK	Sep 12 2024
R-4.3-win-x86_64	OK	Sep 12 2024
R-4.3-mac-x86_64	OK	Sep 12 2024
R-4.3-mac-aarch64	ERROR	Sep 12 2024