EnMCB

DOI: 10.18129/B9.bioc.EnMCB  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see EnMCB.

Predicting Disease Progression Based on Methylation Correlated Blocks using Ensemble Models

Bioconductor version: 3.16

Creation of the correlated blocks using DNA methylation profiles. Machine learning models can be constructed to predict differentially methylated blocks and 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 "4.2") and enter:

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

BiocManager::install("EnMCB")

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

Documentation

PDF   Reference Manual

Details

biocViews DNAMethylation, MethylationArray, Normalization, Software, SupportVectorMachine
Version 1.10.0
In Bioconductor since BioC 3.11 (R-4.0) (3 years)
License GPL-2
Depends R (>= 4.0)
Imports methods, stats, survivalROC, glmnet, rms, mboost, Matrix, igraph, survivalsvm, ggplot2, BiocFileCache, boot, e1071, survival, utils
LinkingTo
Suggests SummarizedExperiment, testthat, Biobase, survminer, affycoretools, knitr, plotROC, minfi, limma, rmarkdown
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
Windows Binary EnMCB_1.10.0.zip (64-bit only)
macOS Binary (x86_64) EnMCB_1.10.0.tgz
macOS Binary (arm64) EnMCB_1.10.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/EnMCB
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/EnMCB
Bioc Package Browser https://code.bioconductor.org/browse/EnMCB/
Package Short Url https://bioconductor.org/packages/EnMCB/
Package Downloads Report Download Stats

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