Bioconductor version: Release (3.17)
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")
):
To install this package, start R (version "4.3") 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.
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browseVignettes("EnMCB")
HTML | R Script | vignette |
Reference Manual | ||
Text | NEWS |
biocViews | DNAMethylation, MethylationArray, Normalization, Software, SupportVectorMachine |
Version | 1.12.0 |
In Bioconductor since | BioC 3.11 (R-4.0) (3.5 years) |
License | GPL-2 |
Depends | R (>= 4.0) |
Imports | survivalROC, glmnet, rms, mboost, Matrix, igraph, methods, survivalsvm, ggplot2, boot, e1071, survival, BiocFileCache |
LinkingTo | |
Suggests | SummarizedExperiment, testthat, Biobase, survminer, affycoretools, knitr, plotROC, limma, rmarkdown |
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_1.12.0.tar.gz |
Windows Binary | EnMCB_1.12.0.zip (64-bit only) |
macOS Binary (x86_64) | EnMCB_1.12.0.tgz |
macOS Binary (arm64) | EnMCB_1.12.0.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/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.17 | Source Archive |
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