EnMCB
Predicting Disease Progression Based on Methylation Correlated Blocks using Ensemble Models
Bioconductor version: Release (3.19)
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 "4.4") 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")| vignette | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DNAMethylation, MethylationArray, Normalization, Software, SupportVectorMachine |
| Version | 1.16.0 |
| In Bioconductor since | BioC 3.11 (R-4.0) (4.5 years) |
| License | GPL-2 |
| Depends | R (>= 4.0) |
| Imports | survivalROC, glmnet, rms, mboost, Matrix, igraph, methods, survivalsvm, ggplot2, boot, e1071, survival, BiocFileCache |
| System Requirements | |
| URL | |
| 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_1.16.0.tar.gz |
| Windows Binary (x86_64) | EnMCB_1.16.0.zip |
| macOS Binary (x86_64) | EnMCB_1.16.0.tgz |
| macOS Binary (arm64) | EnMCB_1.16.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/EnMCB |
| Source Repository (Developer Access) | git clone [email protected]:packages/EnMCB |
| Bioc Package Browser | https://code.bioconductor.org/browse/EnMCB/ |
| Package Short Url | https://bioconductor.org/packages/EnMCB/ |
| Package Downloads Report | Download Stats |