SmCCNet: Sparse Multiple Canonical Correlation Network Analysis Tool ('SmCCNet')

A canonical correlation based framework ('SmCCNet') designed for the construction of phenotype-specific multi-omics networks. This framework adeptly integrates single or multiple omics data types along with a quantitative or binary phenotype of interest. It offers a streamlined setup process that can be tailored manually or configured automatically, ensuring a flexible and user-friendly experience. Methods are described in Shi et al. (2019) "Unsupervised discovery of phenotype-specific multi-omics networks" <doi:10.1093/bioinformatics/btz226>.

Version:	2.0.6
Depends:	R (≥ 3.5)
Imports:	EnvStats, future, pROC, spls, Matrix, pbapply, igraph, magrittr, rlist, furrr, purrr, pracma
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0), dplyr, reshape2, shadowtext, tidyverse, parallel, mltools, caret
Published:	2026-04-28
DOI:	10.32614/CRAN.package.SmCCNet
Author:	Abhinav Pundir [cre], Weixuan Liu [aut], Yonghua Zhuang [aut], W. Jenny Shi [aut], Thao Vu [aut], Iain Konigsberg [aut], Katherine Pratte [aut], Laura Saba [aut], Katerina Kechris [aut]
Maintainer:	Abhinav Pundir <abhinav.pundir at ucdenver.edu>
License:	GPL-3
URL:	https://github.com/KechrisLab/SmCCNet, https://kechrislab.github.io/SmCCNet/, https://liux4283.github.io/SmCCNet/
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	SmCCNet results

Documentation:

Reference manual:	SmCCNet.html , SmCCNet.pdf
Vignettes:	Automated SmCCNet (source, R code) Reconstructing phenotype-specific multi-omics networks with SmCCNet (source, R code) Reconstructing Phenotype-Specific Single-Omics Networks with SmCCNet (source, R code)

Downloads:

Package source:	SmCCNet_2.0.6.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: SmCCNet_2.0.6.zip
macOS binaries:	r-release (arm64): SmCCNet_2.0.6.tgz, r-oldrel (arm64): SmCCNet_2.0.6.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources:	SmCCNet archive

Linking:

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