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Provides an end-to-end workflow for integrative analysis of two omics layers using sparse canonical correlation analysis (sCCA), including sample alignment, feature selection, network edge construction, and visualization of gene-metabolite relationships. The underlying methods are based on penalized matrix decomposition and sparse CCA (Witten, Tibshirani and Hastie (2009) <doi:10.1093/biostatistics/kxp008>), with design principles inspired by multivariate integrative frameworks such as mixOmics (Rohart et al. (2017) <doi:10.1371/journal.pcbi.1005752>).
| Version: | 0.1.1 |
| Imports: | stats, graphics, grDevices, ggplot2, igraph |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0), mixOmics |
| Published: | 2026-01-08 |
| DOI: | 10.32614/CRAN.package.OmicNetR |
| Author: | Prem Prashant Chaudhary [aut, cre] |
| Maintainer: | Prem Prashant Chaudhary <chaudharyp2 at nih.gov> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | OmicNetR results |
| Reference manual: | OmicNetR.html , OmicNetR.pdf |
| Vignettes: |
OmicNetR: Integrative Multi-Omics with Sparse CCA (source, R code) |
| Package source: | OmicNetR_0.1.1.tar.gz |
| Windows binaries: | r-devel: OmicNetR_0.1.1.zip, r-release: OmicNetR_0.1.1.zip, r-oldrel: OmicNetR_0.1.1.zip |
| macOS binaries: | r-release (arm64): OmicNetR_0.1.1.tgz, r-oldrel (arm64): OmicNetR_0.1.1.tgz, r-release (x86_64): OmicNetR_0.1.1.tgz, r-oldrel (x86_64): OmicNetR_0.1.1.tgz |
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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.