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OmicNetR  

Network-Based Integration of Multi-Omics Data Using Sparse CCA
View on CRAN: Click here


Download and install OmicNetR package within the R console
Install from CRAN:
install.packages("OmicNetR")

Install from Github:
library("remotes")
install_github("cran/OmicNetR")

Install by package version:
library("remotes")
install_version("OmicNetR", "0.1.1")



Attach the package and use:
library("OmicNetR")
Maintained by
Prem Prashant Chaudhary
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-08
Latest Update: 2026-01-08
Description:
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>).
How to cite:
Prem Prashant Chaudhary (2026). OmicNetR: Network-Based Integration of Multi-Omics Data Using Sparse CCA. R package version 0.1.1, https://cran.r-project.org/web/packages/OmicNetR. Accessed 05 Jun. 2026.
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Complete documentation for OmicNetR
Functions, R codes and Examples using the OmicNetR R package
Full OmicNetR package functions and examples
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