SmCCNet/DESCRIPTION at master · KechrisLab/SmCCNet · GitHub

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Package: SmCCNet
Title: Sparse Multiple Canonical Correlation Network Analysis Tool ('SmCCNet')
Version: 2.0.7
Date: 2026-04-30
Authors@R: c(person(given = "Abhinav",
                    family = "Pundir",
                    role =  "cre",
                    email="abhinav.pundir@ucdenver.edu"),
            person(given = "Weixuan",
                    family = "Liu",
                    role = "aut",
                    email = "weixuan.liu@cuanschutz.edu"),
             person(given = "Yonghua",
                    family = "Zhuang",
                    role = "aut"),
             person(given = c("W.", "Jenny"),
                    family = "Shi",
                    role = "aut"),
             person(given = "Thao",
                    family = "Vu",
                    role = "aut"),
             person(given = "Iain",
                    family = "Konigsberg",
                    role = "aut"),
             person(given = "Katherine",
                    family = "Pratte",
                    role = "aut"),
             person(given = "Laura",
                    family = "Saba",
                    role = "aut"),
             person(given = "Katerina",
                    family = "Kechris",
                    role = "aut"))
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. Methods are described in Shi et al. (2019) "Unsupervised discovery of phenotype-specific multi-omics networks" <doi:10.1093/bioinformatics/btz226>.
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: 7.3.3
NeedsCompilation: no
VignetteBuilder: knitr
Suggests:
    knitr,
    rmarkdown,
    bookdown,
    testthat (>= 3.0.0),
    dplyr,
    reshape2,
    shadowtext,
    tidyverse,
    parallel,
    mltools,
    caret,
Config/testthat/edition: 3