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SmCCNet  

Sparse Multiple Canonical Correlation Network Analysis Tool ('SmCCNet')
View on CRAN: Click here


Download and install SmCCNet package within the R console
Install from CRAN:
install.packages("SmCCNet")

Install from Github:
library("remotes")
install_github("cran/SmCCNet")

Install by package version:
library("remotes")
install_version("SmCCNet", "2.0.6")



Attach the package and use:
library("SmCCNet")
Maintained by
Weixuan Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-04
Latest Update:
Description:
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.
How to cite:
Weixuan Liu (2019). SmCCNet: Sparse Multiple Canonical Correlation Network Analysis Tool ('SmCCNet'). R package version 2.0.6, https://cran.r-project.org/web/packages/SmCCNet. Accessed 06 Jun. 2026.
Previous versions and publish date:
0.99.0 (2019-03-04 17:50), 2.0.0 (2023-10-02 15:40), 2.0.1 (2023-10-03 23:50), 2.0.2 (2024-01-13 22:50), 2.0.3 (2024-04-16 07:20), 2.0.6 (2026-04-28 22:30)
Other packages that cited SmCCNet R package
View SmCCNet citation profile
Other R packages that SmCCNet depends, imports, suggests or enhances
Complete documentation for SmCCNet
Functions, R codes and Examples using the SmCCNet R package
Some associated functions: geneExpr . getAbar . getMultiOmicsModules . getRobustPseudoWeights . mirnaExpr . pheno . plotMultiOmicsNetwork . 
Some associated R codes: Data.R . ModifiedPMA.R . SmCCNetSource.R .  Full SmCCNet package functions and examples
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