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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", "2.0.3")
Attach the package and use:
library("SmCCNet")
Maintained by
Weixuan Liu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.SmCCNet . https://github.com/KechrisLab/SmCCNet . https://kechrislab.github.io/SmCCNet/ . https://liux4283.github.io/SmCCNet/ . SmCCNet results . SmCCNet.pdf . Automated SmCCNet . Reconstructing phenotype-specific multi-omics networks with SmCCNet . Reconstructing Phenotype-Specific Single-Omics Networks with SmCCNet . SmCCNet_2.0.3.tar.gz . SmCCNet_2.0.3.zip . SmCCNet_2.0.3.zip . SmCCNet_2.0.3.zip . SmCCNet_2.0.3.tgz . SmCCNet_2.0.3.tgz . SmCCNet_2.0.3.tgz . SmCCNet_2.0.3.tgz . SmCCNet_2.0.3.tgz . SmCCNet_2.0.3.tgz . SmCCNet archive . https://CRAN.R-project.org/package=SmCCNet .
First Published: 2019-03-04
Latest Update: 2024-01-13
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. R package version 2.0.3, https://cran.r-project.org/web/packages/SmCCNet. Accessed 29 Mar. 2025.
Previous versions and publish date:
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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