The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
PRANA: Pseudo-Value Regression Approach for Network Analysis (PRANA)
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>.
| Version: |
1.0.5 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
dplyr, parallel, robustbase, stats, minet |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2024-07-27 |
| Author: |
Seungjun Ahn 
[cre, aut, trl],
Somnath Datta [ctb, ths] |
| Maintainer: |
Seungjun Ahn <seungjun.ahn at mountsinai.org> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Language: |
en-US |
| CRAN checks: |
PRANA results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=PRANA
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.