Package: scDHA 1.2.3

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], Hao Chen [ctb]

scDHA_1.2.3.tar.gz
scDHA_1.2.3.zip(r-4.7-x86_64)scDHA_1.2.3.zip(r-4.6-x86_64)scDHA_1.2.3.zip(r-4.5-x86_64)
scDHA_1.2.3.tgz(r-4.6-x86_64)scDHA_1.2.3.tgz(r-4.6-arm64)scDHA_1.2.3.tgz(r-4.5-x86_64)scDHA_1.2.3.tgz(r-4.5-arm64)
scDHA_1.2.3.tar.gz(r-4.7-arm64)scDHA_1.2.3.tar.gz(r-4.7-x86_64)scDHA_1.2.3.tar.gz(r-4.6-arm64)scDHA_1.2.3.tar.gz(r-4.6-x86_64)
scDHA_1.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
scDHA/json (API)

# 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:

cpp

6.34 score 42 stars 26 scripts 394 downloads 4 exports 49 dependencies

Last updated from:ac9060b707. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	238
linux-devel-x86_64	OK	215
source / vignettes	OK	223
linux-release-arm64	OK	191
linux-release-x86_64	OK	207
macos-release-arm64	OK	166
macos-release-x86_64	OK	364
macos-oldrel-arm64	OK	199
macos-oldrel-x86_64	OK	607
windows-devel	OK	206
windows-release	OK	177
windows-oldrel	OK	175
wasm-release	OK	180