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EnMCB

This is the released version of EnMCB; for the devel version, see EnMCB.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11

Predicting Disease Progression Based on Methylation Correlated Blocks using Ensemble Models

DOI: 10.18129/B9.bioc.EnMCB

Bioconductor version: Release (3.23)

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")):

Xin Yu. EnMCB: Predicting Disease Progression Based on Methylation Correlated Blocks using Ensemble Models. doi:10.18129/B9.bioc.EnMCB, R package version 1.24.0, https://bioconductor.org/packages/EnMCB.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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

Package Archives

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