Package: JSparO 1.5.0

Xinlin Hu

JSparO: Joint Sparse Optimization via Proximal Gradient Method for Cell Fate Conversion

Implementation of joint sparse optimization (JSparO) to infer the gene regulatory network for cell fate conversion. The proximal gradient method is implemented to solve different low-order regularization models for JSparO.

Authors:Xinlin Hu [aut, cre], Yaohua Hu [cph, aut]

JSparO_1.5.0.tar.gz
JSparO_1.5.0.tar.gz(r-4.7-any)JSparO_1.5.0.tar.gz(r-4.6-any)
JSparO_1.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
JSparO/json (API)

# Install 'JSparO' in R:
install.packages('JSparO', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 161 downloads 10 exports 1 dependencies

Last updated from:9fff7bd325. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK110
source / vignettesOK157
linux-release-x86_64OK119
wasm-releaseOK96

Exports:demo_JSparOL1HalfThrL1HardThrL1SoftThrL1twothirdsThrL2HalfThrL2HardThrL2NewtonThrL2SoftThrL2twothirdsThr

Dependencies:pracma