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DNA methylation-based classification and regression

Bioconductor version: Release (3.19)

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] , Jacob Fanale [aut, cre]

Maintainer: Jacob Fanale <jfanale at>

Citation (from within R, enter citation("CytoMethIC")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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:

CytoMethIC User Guide HTML R Script
Reference Manual PDF


biocViews CancerData, ExperimentData, ExperimentHub, Genome, MethylationArrayData, MicroarrayData, PackageTypeData
Version 1.0.0
License Artistic-2.0
Depends R (>= 4.4.0), ExperimentHub
Imports tibble, utils, stats, tools, sesame, methods, sesameData, BiocParallel, BiocManager
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Suggests BiocStyle, randomForest, testthat, knitr, rmarkdown, e1071, xgboost, keras, tensorflow
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Follow Installation instructions to use this package in your R session.

Source Package CytoMethIC_1.0.0.tar.gz
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Source Repository (Developer Access) git clone
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