CytoMethIC
This is the development version of CytoMethIC; for the stable release version, see CytoMethIC.
DNA methylation-based classification and regression
Bioconductor version: Development (3.21)
This package provides DNA methylation-based prediction of cancer type, molecular signature and clinical outcomes. It provides convenience functions for missing value imputation, probe ID conversion, model interpretation and visualization. The package links to our models on ExperimentHub. The package currently supports HM450, EPIC and EPICv2.
Author: Wanding Zhou [aut] (ORCID:
Maintainer: Jacob Fanale <jfanale at seas.upenn.edu>
citation("CytoMethIC")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("CytoMethIC")
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("CytoMethIC")
CytoMethIC User Guide | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | CancerData, ExperimentData, ExperimentHub, Genome, MethylationArrayData, MicroarrayData, PackageTypeData |
Version | 1.3.0 |
License | Artistic-2.0 |
Depends | R (>= 4.4.0), ExperimentHub |
Imports | tibble, utils, stats, tools, sesame, methods, sesameData, BiocParallel, BiocManager |
System Requirements | |
URL | https://github.com/zhou-lab/CytoMethIC |
Bug Reports | https://github.com/zhou-lab/CytoMethIC/issues |
See More
Suggests | BiocStyle, randomForest, testthat, knitr, rmarkdown, e1071, xgboost, keras, tensorflow |
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 | CytoMethIC_1.3.0.tar.gz |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/CytoMethIC |
Source Repository (Developer Access) | git clone [email protected]:packages/CytoMethIC |
Package Short Url | https://bioconductor.org/packages/CytoMethIC/ |
Package Downloads Report | Download Stats |