The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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
DOI: 10.32614/CRAN.package.SmCCNet
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
In views: Omics
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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.