EnMCB
This is the released version of EnMCB; for the devel version, see EnMCB.
Predicting Disease Progression Based on Methylation Correlated Blocks using Ensemble Models
Bioconductor version: Release (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")
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") Reference Manual
PDF
NEWS
Text
Details
Version
1.22.0
In Bioconductor since
BioC 3.11 (R-4.0) (5.5 years)
License
GPL-2
Depends
R (>= 4.0)
Imports
survivalROC, glmnet, rms, mboost, Matrix, igraph, methods, survivalsvm, ggplot2, boot, e1071, survival, BiocFileCache
System Requirements
Bug Reports
https://github.com/whirlsyu/EnMCB/issues
See More
Suggests
SummarizedExperiment, testthat, Biobase, survminer, affycoretools, knitr, plotROC, limma, rmarkdown
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report
Build Report
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package
EnMCB_1.22.0.tar.gz
Windows Binary (x86_64)
EnMCB_1.22.0.zip
macOS Binary (x86_64)
EnMCB_1.22.0.tgz
macOS Binary (arm64)
EnMCB_1.22.0.tgz
Source Repository
git clone https://git.bioconductor.org/packages/EnMCB
Source Repository (Developer Access)
git clone git@git.bioconductor.org:packages/EnMCB
Bioc Package Browser
https://code.bioconductor.org/browse/EnMCB/
Package Short Url
https://bioconductor.org/packages/EnMCB/
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