EnMCB

DOI: 10.18129/B9.bioc.EnMCB    

Predicting Disease Progression Based on Methylation Correlated Blocks using Ensemble Models

Bioconductor version: Release (3.13)

Creation of the correlated blocks using DNA methylation profiles. A stacked ensemble of machine learning models, which combined the cox, support vector machine and elastic-net regression model, can be constructed to predict disease progression.

Author: Xin Yu

Maintainer: Xin Yu <whirlsyu at gmail.com>

Citation (from within R, enter citation("EnMCB")):

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("EnMCB")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("EnMCB")

 

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PDF   Reference Manual
Text   NEWS

Details

biocViews DNAMethylation, MethylationArray, Normalization, Software, SupportVectorMachine
Version 1.4.0
In Bioconductor since BioC 3.11 (R-4.0) (1.5 years)
License GPL-2
Depends R (>= 4.0)
Imports foreach, doParallel, parallel, stats, survivalROC, glmnet, rms, mboost, survivalsvm, ggplot2, IlluminaHumanMethylation450kanno.ilmn12.hg19, minfi, boot, survival, utils
LinkingTo
Suggests SummarizedExperiment, testthat, Biobase, survminer, affycoretools, knitr, plotROC, prognosticROC
SystemRequirements
Enhances
URL
BugReports https://github.com/whirlsyu/EnMCB/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package EnMCB_1.4.0.tar.gz
Windows Binary EnMCB_1.4.0.zip
macOS 10.13 (High Sierra) EnMCB_1.4.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/EnMCB
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/EnMCB
Package Short Url https://bioconductor.org/packages/EnMCB/
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