Network-Based Integration of Multi-Omics Data Using Sparse CCA R package OmicNetR version 0.1.1 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>). Software Imports: stats, graphics, grDevices, ggplot2, igraph Suggests: knitr, rmarkdown, testthat (>= 3.0.0), mixOmics Prem Prashant Chaudhary <chaudharyp2@nih.gov> Comprehensive R Archive Network (CRAN) Prem Prashant Chaudhary [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=OmicNetR/LICENSE) 2026-01-08 application/tgz https://CRAN.R-project.org/package=OmicNetR doi:10.32614/CRAN.package.OmicNetR