DESCRIPTION

Package: VSOLassoBag
Type: Package
Title: Variable Selection Oriented LASSO Bagging Algorithm
Version: 0.99.0
Date: 2022-11-10
biocViews: Software, StatisticalMethod, FeatureExtraction
Authors@R: c(
  person('Jiaqi', 'Liang',  email = 'liangjq27@mail2.sysu.edu.cn', role = c('aut')),
  person('Chaoye', 'Wang',  email = 'wangcy1@sysucc.org.cn', role = c('aut', 'cre'))
  )
Description: A wrapped LASSO approach by integrating an ensemble learning strategy to help select efficient, stable, and high confidential variables from omics-based data. Using a bagging strategy in combination of a parametric method or inflection point search method for cut-off threshold determination. This package can integrate and vote variables generated from multiple LASSO models to determine the optimal candidates. Luo H, Zhao Q, et al (2020) <doi:10.1126/scitranslmed.aax7533> for more details.
License: GPL-3
Encoding: UTF-8
Depends:
    R (>= 3.6.0)
Imports: 
    glmnet,
    survival,
    ggplot2,
    POT,
    parallel,
    utils,
    pbapply,
    methods,
    SummarizedExperiment
RoxygenNote: 7.2.0
Suggests: 
    rmarkdown,
    knitr,
    rmdformats,
    qpdf
VignetteBuilder: knitr
LazyData: true