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EnMCB

Predicting Disease Progression Based on Methylation Correlated Blocks using Ensemble Models

Bioconductor version: 3.23 · Package version: 1.24.0

Creation of the correlated blocks using DNA methylation profiles. Machine learning models can be constructed to predict differentially methylated blocks and disease progression.

Installation

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

BiocManager::install("EnMCB")

Details

MaintainerXin Yu <whirlsyu@gmail.com>
AuthorXin Yu
LicenseGPL-2
Bug Reportshttps://github.com/whirlsyu/EnMCB/issues
Downloads rank263
Source branchRELEASE_3_23
biocViewsDNAMethylation, MethylationArray, Normalization, Software, SupportVectorMachine

Documentation

Download

Dependencies

Depends: R (>= 4.0)

Imports: survivalROC, glmnet, rms, mboost, Matrix, igraph, methods, survivalsvm, ggplot2, boot, e1071, survival, BiocFileCache

Suggests: SummarizedExperiment, testthat, Biobase, survminer, affycoretools, knitr, plotROC, limma, rmarkdown