This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see EnMCB.
Bioconductor version: 3.12
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.
Author: Xin Yu
Maintainer: Xin Yu <whirlsyu at gmail.com>
Citation (from within R,
enter citation("EnMCB")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("EnMCB")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("EnMCB")
HTML | R Script | vignette |
Reference Manual | ||
Text | NEWS |
biocViews | DNAMethylation, MethylationArray, Normalization, Software, SupportVectorMachine |
Version | 1.2.2 |
In Bioconductor since | BioC 3.11 (R-4.0) (1 year) |
License | GPL-2 |
Depends | R (>= 4.0) |
Imports | foreach, doParallel, parallel, stats, survivalROC, glmnet, rms, survivalsvm, ggplot2, minfi, IlluminaHumanMethylation450kanno.ilmn12.hg19, survival, utils |
LinkingTo | |
Suggests | SummarizedExperiment, testthat, Biobase, survminer, affycoretools, knitr, plotROC, prognosticROC |
SystemRequirements | |
Enhances | |
URL | |
BugReports | https://github.com/whirlsyu/EnMCB/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | EnMCB_1.2.2.tar.gz |
Windows Binary | EnMCB_1.2.2.zip |
macOS 10.13 (High Sierra) | EnMCB_1.2.2.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/EnMCB |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/EnMCB |
Package Short Url | https://bioconductor.org/packages/EnMCB/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: