Package: EnMCB
Type: Package
Title: Predicting Disease Progression Based on Methylation Correlated
        Blocks using Ensemble Models
Version: 1.23.0
Date: 2023-3-13
Author: Xin Yu
Maintainer: Xin Yu <whirlsyu@gmail.com>
Depends: R (>= 4.0)
Encoding: UTF-8
Imports: survivalROC, glmnet, rms, mboost, Matrix, igraph, methods,
        survivalsvm, ggplot2, boot, e1071, survival, BiocFileCache
ImportFrom:
VignetteBuilder: knitr
Suggests: SummarizedExperiment, testthat, Biobase, survminer,
        affycoretools, knitr, plotROC, 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: 7.2.3
Config/pak/sysreqs: libglpk-dev make libicu-dev libxml2-dev libssl-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 14:56:09 UTC
RemoteUrl: https://github.com/bioc/EnMCB
RemoteRef: HEAD
RemoteSha: 8ef58efb4dd426fc64b24c0a9f29e9634cb9f31f
NeedsCompilation: no
Packaged: 2025-10-30 05:29:34 UTC; root
Built: R 4.6.0; ; 2025-10-30 05:32:38 UTC; windows
