Bioconductor 3.22 Released

methyLImp2

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

Missing value estimation of DNA methylation data


Bioconductor version: Development (3.23)

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] ORCID iD ORCID: 0000-0002-1838-8918 , Anna Plaksienko [aut, cre] ORCID iD ORCID: 0000-0001-9607-057X , Claudia Angelini [aut] ORCID iD ORCID: 0000-0001-8350-8464 , Christine Nardini [aut] ORCID iD ORCID: 0000-0001-7601-321X

Maintainer: Anna Plaksienko <anna at plaxienko.com>

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

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("methyLImp2")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews DNAMethylation, MethylationArray, Microarray, Regression, Software
Version 1.7.0
In Bioconductor since BioC 3.19 (R-4.4) (1.5 years)
License GPL-3
Depends R (>= 4.3.0), ChAMPdata
Imports BiocParallel, parallel, stats, methods, corpcor, SummarizedExperiment, utils
System Requirements
URL https://github.com/annaplaksienko/methyLImp2
Bug Reports https://github.com/annaplaksienko/methyLImp2/issues
See More
Suggests BiocStyle, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
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
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/methyLImp2
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/methyLImp2
Package Short Url https://bioconductor.org/packages/methyLImp2/
Package Downloads Report Download Stats