Package: EnMCB
Type: Package
Title: Predicting Disease Progression Based on Methylation Correlated
        Blocks using Ensemble Models
Version: 1.25.0
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: cmake libglpk-dev make libicu-dev libuv1-dev
        libxml2-dev libssl-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-07-11 01:15:17 UTC
RemoteUrl: https://github.com/bioc/EnMCB
RemoteRef: HEAD
RemoteSha: a2894e01dc1b9d26a4ae267c3b9bde14096b5ecc
NeedsCompilation: no
Packaged: 2026-07-11 04:55:43 UTC; root