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SmCCNet: Sparse Multiple Canonical Correlation Network Analysis Tool ('SmCCNet')
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. Methods are described in Shi et al. (2019) "Unsupervised discovery of phenotype-specific multi-omics networks" <doi:10.1093/bioinformatics/btz226>.
Getting started
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"
Browse package contents
Package details |
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| Author | Abhinav Pundir [cre], Weixuan Liu [aut], Yonghua Zhuang [aut], W. Jenny Shi [aut], Thao Vu [aut], Iain Konigsberg [aut], Katherine Pratte [aut], Laura Saba [aut], Katerina Kechris [aut] |
| Bioconductor views | Network |
| Maintainer | Abhinav Pundir <abhinav.pundir@ucdenver.edu> |
| License | GPL-3 |
| Version | 2.0.7 |
| URL | https://github.com/KechrisLab/SmCCNet https://kechrislab.github.io/SmCCNet/ https://liux4283.github.io/SmCCNet/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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