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.

README.md Automated SmCCNet Reconstructing phenotype-specific multi-omics networks with SmCCNet Reconstructing Phenotype-Specific Single-Omics Networks with SmCCNet Automated SmCCNet" Reconstructing phenotype specific multi-omics networks with SmCCNet" Reconstructing Phenotype-Specific Single-Omics Networks with SmCCNet"

Vignettes Man pages API and functions Files

Package details
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]
Bioconductor views	Network
Maintainer	Weixuan Liu <weixuan.liu@cuanschutz.edu>
License	GPL-3
Version	2.0.1
URL	https://github.com/KechrisLab/SmCCNet
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("SmCCNet")`