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
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Package details |
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| 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 | 2.0.3 |
| URL | https://github.com/KechrisLab/SmCCNet https://kechrislab.github.io/SmCCNet/ https://liux4283.github.io/SmCCNet/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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