EnMCB
This package is for version 3.14 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: 3.14
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("EnMCB")):
Installation
To install this package, start R (version "4.1") 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
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("EnMCB")
Details
See More
Package Archives
Follow Installation instructions to use this package in your R session.