OmicNetR: Network-Based Integration of Multi-Omics Data Using Sparse CCA

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 (may not be active yet)
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

Documentation:

Reference manual:	OmicNetR.html , OmicNetR.pdf
Vignettes:	OmicNetR: Integrative Multi-Omics with Sparse CCA (source, R code)

Downloads:

Package source:	OmicNetR_0.1.1.tar.gz
Windows binaries:	r-devel: OmicNetR_0.1.1.zip, r-release: not available, 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

Linking:

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