This is the development version of methyLImp2; for the stable release version, see methyLImp2.
Missing value estimation of DNA methylation dataBioconductor version: Development (3.22)
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: 0000-0002-1838-8918 , Anna Plaksienko [aut, cre] ORCID: 0000-0001-9607-057X , Claudia Angelini [aut] ORCID: 0000-0001-8350-8464 , Christine Nardini [aut] ORCID: 0000-0001-7601-321X
Maintainer: Anna Plaksienko <anna at plaxienko.com>
Citation (from within R, entercitation("methyLImp2")): 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("methyLImp2")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("methyLImp2")Follow Installation instructions to use this package in your R session.
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