PRANA
Pseudo-Value Regression Approach for Network Analysis
A novel pseudo-value regression approach for the differential co-expression network analysis in expression data, which can incorporate additional clinical variables in the model. This is a direct regression modeling for the differential network analysis, and it is therefore computationally amenable for the most users. The full methodological details can be found in Ahn S et al (2023) doi:10.1186/s12859-022-05123-w.
- Version1.0.6
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- Last release09/22/2024
Documentation
Team
Seungjun Ahn
Somnath Datta
Show author detailsRolesContributor, Thesis advisor
Insights
Last 30 days
This package has been downloaded 167 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 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 2,023 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 26, 2024 with 42 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.
Data provided by CRAN
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Dependencies
- Imports2 packages
- Suggests3 packages