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Bioconductor - EnMCB (development version)

EnMCB

This is the development version of EnMCB; for the stable release version, see EnMCB.

Predicting Disease Progression Based on Methylation Correlated Blocks using Ensemble Models

Bioconductor version: Development (3.22)

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 "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")
Details biocViews DNAMethylation, MethylationArray, Normalization, Software, SupportVectorMachine Version 1.21.0 In Bioconductor since BioC 3.11 (R-4.0) (5 years) License GPL-2 Depends R (>= 4.0) Imports survivalROC, glmnet, rms, mboost, Matrix, igraph, methods, survivalsvm, ggplot2, boot, e1071, survival, BiocFileCache System Requirements URL Bug Reports https://github.com/whirlsyu/EnMCB/issues See More Package Archives

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

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