Package: EnMCB
Type: Package
Title: Predicting Disease Progression Based on Methylation Correlated Blocks using Ensemble Models
Version: 1.19.0
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