SmCCNet: Sparse Multiple Canonical Correlation Network Analysis Tool (original) (raw)
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.
Version:
2.0.3
Depends:
R (≥ 3.5)
Imports:
EnvStats, future, pROC, spls, Matrix, pbapply, igraph, magrittr, rlist, furrr, purrr, pracma
Suggests:
knitr, rmarkdown, testthat (≥ 3.0.0), dplyr, reshape2, shadowtext, tidyverse, parallel, mltools, caret
Published:
2024-04-16
DOI:
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]
Maintainer:
Weixuan Liu <weixuan.liu at cuanschutz.edu>
License:
URL:
https://github.com/KechrisLab/SmCCNet,https://kechrislab.github.io/SmCCNet/,https://liux4283.github.io/SmCCNet/
NeedsCompilation:
no
Materials:
In views:
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