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This is the development version of methyLImp2; for the stable release version, see methyLImp2.

Missing value estimation of DNA methylation data

Bioconductor version: Development (3.20)

This package allows to estimate missing values in DNA methylation data. methyLImp method is based on linear regression since methylation levels show a high degree of inter-sample correlation. Implementation is parallelised over chromosomes since probes on different chromosomes are usually independent. Mini-batch approach to reduce the runtime in case of large number of samples is available.

Author: Pietro Di Lena [aut] , Anna Plaksienko [aut, cre] , Claudia Angelini [aut] , Christine Nardini [aut]

Maintainer: Anna Plaksienko <anna at>

Citation (from within R, enter citation("methyLImp2")):


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

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

# The following initializes usage of Bioc devel


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:

methyLImp2 vignette HTML R Script
Reference Manual PDF


biocViews DNAMethylation, MethylationArray, Microarray, Regression, Software
Version 1.1.0
In Bioconductor since BioC 3.19 (R-4.4) (< 6 months)
License GPL-3
Depends R (>= 4.3.0), ChAMPdata
Imports BiocParallel, parallel, stats, methods, corpcor, SummarizedExperiment, utils
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Suggests BiocStyle, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
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Follow Installation instructions to use this package in your R session.

Source Package methyLImp2_1.1.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) methyLImp2_1.1.0.tgz
macOS Binary (arm64) methyLImp2_1.1.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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