KechrisLab/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.

Getting started

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>
LicenseGPL-3
Version2.0.2
URL https://github.com/KechrisLab/SmCCNet https://kechrislab.github.io/SmCCNet/ https://liux4283.github.io/SmCCNet/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("KechrisLab/SmCCNet")
KechrisLab/SmCCNet documentation built on Feb. 3, 2024, 10:43 a.m.