Package: EnMCB
Type: Package
Title: Predicting Disease Progression Based on Methylation Correlated
        Blocks using Ensemble Models
Version: 1.10.0
Date: 2019-10-04
Author: Xin Yu 
Maintainer: Xin Yu <whirlsyu@gmail.com>
Depends: R (>= 4.0)
Encoding: UTF-8
Imports: methods, stats, survivalROC, glmnet, rms, mboost, Matrix,
        igraph, survivalsvm, ggplot2, BiocFileCache, boot, e1071,
        survival, utils
ImportFrom:
VignetteBuilder: knitr
Suggests: SummarizedExperiment, testthat, Biobase, survminer,
        affycoretools, knitr, plotROC, minfi, limma, rmarkdown
Description: Creation of the correlated blocks using DNA methylation profiles. 
    Machine learning models can be constructed to predict differentially methylated blocks and disease progression.
License: GPL-2
BugReports: https://github.com/whirlsyu/EnMCB/issues
biocViews: Normalization, DNAMethylation, MethylationArray,
        SupportVectorMachine
LazyData: FALSE
RoxygenNote: 7.2.1
git_url: https://git.bioconductor.org/packages/EnMCB
git_branch: RELEASE_3_16
git_last_commit: 00ea766
git_last_commit_date: 2022-11-01
Date/Publication: 2022-11-01
NeedsCompilation: no
Packaged: 2022-11-02 00:04:06 UTC; biocbuild
Built: R 4.2.1; ; 2022-11-02 13:33:40 UTC; windows
