Package: EnMCB
Type: Package
Title: Predicting Disease Progression Based on Methylation Correlated
        Blocks using Ensemble Models
Version: 1.0.11
Date: 2019-10-04
Author: Xin Yu 
Maintainer: Xin Yu <whirlsyu@gmail.com>
Depends: R (>= 4.0)
Encoding: UTF-8
Imports: foreach, doParallel, parallel, stats, survivalROC, glmnet,
        survivalsvm, ggplot2, minfi,
        IlluminaHumanMethylation450kanno.ilmn12.hg19, survival, utils
VignetteBuilder: knitr
Suggests: SummarizedExperiment, testthat, Biobase, survminer,
        affycoretools, knitr, plotROC, prognosticROC
Description: Creation of the correlated blocks using DNA methylation 
    profiles. A stacked ensemble of machine learning models, 
    which combined the support vector machine and elastic-net 
    regression model, can be constructed to predict disease progression.
License: GPL-2
BugReports: https://github.com/whirlsyu/EnMCB/issues
biocViews: Normalization, DNAMethylation, MethylationArray,
        SupportVectorMachine
LazyData: FALSE
RoxygenNote: 7.1.1
git_url: https://git.bioconductor.org/packages/EnMCB
git_branch: RELEASE_3_11
git_last_commit: a009269
git_last_commit_date: 2020-09-21
Date/Publication: 2020-09-22
NeedsCompilation: no
Packaged: 2020-09-23 03:56:47 UTC; biocbuild
Built: R 4.0.2; ; 2020-09-23 10:08:27 UTC; windows
