Package: SmCCNet
Title: Sparse Multiple Canonical Correlation Network Analysis Tool
Version: 2.0.3
Date: 2024-4-15
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@cuanschutz.edu>
Description: 
   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.
URL: https://github.com/KechrisLab/SmCCNet,
        https://kechrislab.github.io/SmCCNet/,
        https://liux4283.github.io/SmCCNet/
Depends: R (>= 3.5)
Imports: EnvStats, future, pROC, spls, Matrix, pbapply, igraph,
        magrittr, rlist, furrr, purrr, pracma
License: GPL-3
Encoding: UTF-8
LazyData: true
biocViews: Network
RoxygenNote: 7.2.3
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2024-04-16 05:06:42 UTC; liux4
Repository: CRAN
Date/Publication: 2024-04-16 05:20:02 UTC
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), dplyr, reshape2,
        shadowtext, tidyverse, parallel, mltools, caret,
Config/testthat/edition: 3
Built: R 4.2.3; ; 2024-04-24 02:09:48 UTC; windows
