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:	2.0.3
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:	2024-04-16
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 cuanschutz.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.pdf
Vignettes:	Automated SmCCNet Reconstructing phenotype-specific multi-omics networks with SmCCNet Reconstructing Phenotype-Specific Single-Omics Networks with SmCCNet

Downloads:

Package source:	SmCCNet_2.0.3.tar.gz
Windows binaries:	r-devel: SmCCNet_2.0.3.zip, r-release: SmCCNet_2.0.3.zip, r-oldrel: SmCCNet_2.0.3.zip
macOS binaries:	r-release (arm64): SmCCNet_2.0.3.tgz, r-oldrel (arm64): SmCCNet_2.0.3.tgz, r-release (x86_64): SmCCNet_2.0.3.tgz, r-oldrel (x86_64): SmCCNet_2.0.3.tgz
Old sources:	SmCCNet archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SmCCNet to link to this page.