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.

Version:	1.5.0
Depends:	R (≥ 4.0.0)
Imports:	pracma
Published:	2022-08-18
Author:	Xinlin Hu [aut, cre], Yaohua Hu [cph, aut]
Maintainer:	Xinlin Hu <thompson-xinlin.hu at connect.polyu.hk>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	JSparO results

Documentation:

Reference manual:

JSparO.pdf

Downloads:

Package source:	JSparO_1.5.0.tar.gz
Windows binaries:	r-devel: JSparO_1.5.0.zip, r-release: JSparO_1.5.0.zip, r-oldrel: JSparO_1.5.0.zip
macOS binaries:	r-release (arm64): JSparO_1.5.0.tgz, r-oldrel (arm64): JSparO_1.5.0.tgz, r-release (x86_64): JSparO_1.5.0.tgz, r-oldrel (x86_64): JSparO_1.5.0.tgz

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