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.
- Version1.5.0
- R version≥ 4.0.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release08/18/2022
Documentation
Team
Xinlin Hu
Yaohua Hu
Show author detailsRolesCopyright holder, Author
Insights
Last 30 days
This package has been downloaded 157 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,989 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 23, 2024 with 25 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports1 package