OmicNetR
0.1.1Network-Based Integration of Multi-Omics Data Using Sparse CCA
Overview
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).
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- not tracked
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Dependencies
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Code & Tests
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.1Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-01-08
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Bundled data
- 100 KB / 1 file
- Download size
- 1.0 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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