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-4.5-noble)JSparO_1.5.0.tar.gz(r-4.4-noble)
JSparO_1.5.0.tgz(r-4.4-emscripten)JSparO_1.5.0.tgz(r-4.3-emscripten)
JSparO.pdf |JSparO.html✨
JSparO/json (API)

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

Peer review:

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 124 downloads 10 exports 1 dependencies

Last updated 2 years agofrom:9fff7bd325. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-linuxOKNov 01 2024

Exports:demo_JSparOL1HalfThrL1HardThrL1SoftThrL1twothirdsThrL2HalfThrL2HardThrL2NewtonThrL2SoftThrL2twothirdsThr

Dependencies:pracma