methylclockData

Data for methylclock package

Bioconductor version: Release (3.19)

Collection of 9 datasets, andrews and bakulski cord blood, blood gse35069, blood gse35069 chen, blood gse35069 complete, combined cord blood, cord bloo d gse68456, gervin and lyle cord blood, guintivano dlpfc and saliva gse48472". Data downloaded from [meffil](https://github.com/perishky/meffil/). Data used to estimate cell counts using Extrinsic epigenetic age acceleration (EEAA) method Collection of 12 datasets to use with MethylClock package to estimate chronological and gestational DNA methylationwith estimators to use wit different methylation clocks

Author: Juan R. Gonzalez [aut], Dolors Pelegri-Siso [aut, cre]

Maintainer: Dolors Pelegri-Siso <dolors.pelegri at isglobal.org>

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

Installation

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


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

BiocManager::install("methylclockData")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("methylclockData")

References for metilclock using Bioconductor's ExperimentHub	HTML	R Script
Reference Manual	PDF
LICENSE	Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	ExperimentData, ExperimentHub, Homo_sapiens_Data, OrganismData, SpecimenSource, Tissue
Version	1.12.0
License	MIT + file LICENSE
Depends
Imports	ExperimentHubData, ExperimentHub, utils
System Requirements
URL	https://github.com/isglobal-brge/methylclockData
Bug Reports	https://github.com/isglobal-brge/methylclockData/issues

Suggests	knitr, BiocStyle, rmarkdown
Linking To
Enhances
Depends On Me	methylclock
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	methylclockData_1.12.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/methylclockData
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/methylclockData
Package Short Url	https://bioconductor.org/packages/methylclockData/
Package Downloads Report	Download Stats