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JSparO  

Joint Sparse Optimization via Proximal Gradient Method for Cell Fate Conversion
View on CRAN: Click here


Download and install JSparO package within the R console
Install from CRAN:
install.packages("JSparO")

Install from Github:
library("remotes")
install_github("cran/JSparO")

Install by package version:
library("remotes")
install_version("JSparO", "1.5.0")



Attach the package and use:
library("JSparO")
Maintained by
Xinlin Hu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-18
Latest Update: 2022-08-18
Description:
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.
How to cite:
Xinlin Hu (2022). JSparO: Joint Sparse Optimization via Proximal Gradient Method for Cell Fate Conversion. R package version 1.5.0, https://cran.r-project.org/web/packages/JSparO. Accessed 18 Sep. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited JSparO R package
View JSparO citation profile
Other R packages that JSparO depends, imports, suggests or enhances
Complete documentation for JSparO
Functions, R codes and Examples using the JSparO R package
Some associated functions: L1HalfThr . L1HardThr . L1SoftThr . L1normFun . L1twothirdsThr . L2HalfThr . L2HardThr . L2NewtonThr . L2SoftThr . L2twothirdsThr . demo_JSparO . 
Some associated R codes: L1HalfThr.R . L1HardThr.R . L1SoftThr.R . L1normFun.R . L1twothirdsThr.R . L2HalfThr.R . L2HardThr.R . L2NewtonThr.R . L2SoftThr.R . L2twothirdsThr.R . demo_JSparO.R .  Full JSparO package functions and examples
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