SmCCNet: Sparse Multiple Canonical Correlation Network Analysis Tool

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.

Version: 2.0.2
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: 2024-01-13
Author: Weixuan Liu [aut, cre], Yonghua Zhuang [aut, cre], W. Jenny Shi [aut, cre], Thao Vu [aut], Iain Konigsberg [aut], Katherine Pratte [aut], Laura Saba [aut], Katerina Kechris [aut]
Maintainer: Weixuan Liu <weixuan.liu at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: SmCCNet results


Reference manual: SmCCNet.pdf
Vignettes: Automated SmCCNet
Reconstructing phenotype-specific multi-omics networks with SmCCNet
Reconstructing Phenotype-Specific Single-Omics Networks with SmCCNet


Package source: SmCCNet_2.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SmCCNet_2.0.2.tgz, r-oldrel (arm64): SmCCNet_2.0.2.tgz, r-release (x86_64): SmCCNet_2.0.2.tgz
Old sources: SmCCNet archive


Please use the canonical form to link to this page.