EnMCB: Predicting Disease Progression Based on Methylation Correlated Blocks using Ensemble Models

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

Package details

AuthorXin Yu
Bioconductor views DNAMethylation MethylationArray Normalization SupportVectorMachine
MaintainerXin Yu <whirlsyu@gmail.com>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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EnMCB documentation built on Dec. 22, 2020, 2 a.m.