This is the development version of methylclock; for the stable release version, see methylclock.
Methylclock - DNA methylation-based clocksBioconductor version: Development (3.22)
This package allows to estimate chronological and gestational DNA methylation (DNAm) age as well as biological age using different methylation clocks. Chronological DNAm age (in years) : Horvath's clock, Hannum's clock, BNN, Horvath's skin+blood clock, PedBE clock and Wu's clock. Gestational DNAm age : Knight's clock, Bohlin's clock, Mayne's clock and Lee's clocks. Biological DNAm clocks : Levine's clock and Telomere Length's clock.
Author: Dolors Pelegri-Siso [aut, cre] ORCID: 0000-0002-5993-3003 , Juan R. Gonzalez [aut] ORCID: 0000-0003-3267-2146
Maintainer: Dolors Pelegri-Siso <dolors.pelegri at isglobal.org>
Citation (from within R, entercitation("methylclock")
): 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("methylclock")
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("methylclock")
Details biocViews BiologicalQuestion, DNAMethylation, Normalization, Preprocessing, Software, StatisticalMethod Version 1.15.0 In Bioconductor since BioC 3.14 (R-4.1) (3.5 years) License MIT + file LICENSE Depends R (>= 4.1.0), methylclockData, devtools, quadprog Imports Rcpp (>= 1.0.6), ExperimentHub, dplyr, impute, PerformanceAnalytics, Biobase, ggpmisc, tidyverse, ggplot2, ggpubr, minfi, tibble, RPMM, stats, graphics, tidyr, gridExtra, preprocessCore, dynamicTreeCut, planet System Requirements URL https://github.com/isglobal-brge/methylclock Bug Reports https://github.com/isglobal-brge/methylclock/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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