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 [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.
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