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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: 1.0.6
Depends: R (≥ 3.5.0)
Imports: dplyr, parallel, robustbase, stats, minet
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-09-22
DOI: 10.32614/CRAN.package.PRANA
Author: Seungjun Ahn ORCID iD [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:

Reference manual: PRANA.pdf
Vignettes: UserManualPRANA (source, R code)

Downloads:

Package source: PRANA_1.0.6.tar.gz
Windows binaries: r-devel: PRANA_1.0.6.zip, r-release: PRANA_1.0.6.zip, r-oldrel: PRANA_1.0.6.zip
macOS binaries: r-release (arm64): PRANA_1.0.6.tgz, r-oldrel (arm64): PRANA_1.0.6.tgz, r-release (x86_64): PRANA_1.0.6.tgz, r-oldrel (x86_64): PRANA_1.0.6.tgz
Old sources: PRANA archive

Linking:

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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.