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.

10 exports 1 stars 0.00 score 1 dependencies 153 downloads

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

TargetResultDate
Doc / VignettesOKSep 02 2024
R-4.5-linuxOKSep 02 2024

Exports:demo_JSparOL1HalfThrL1HardThrL1SoftThrL1twothirdsThrL2HalfThrL2HardThrL2NewtonThrL2SoftThrL2twothirdsThr

Dependencies:pracma