methylclockData
This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see methylclockData.
Data for methylclock package
Bioconductor version: 3.15
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("methylclockData")
):
Installation
To install this package, start R (version "4.2") 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 | ||
LICENSE | Text |
Details
biocViews | ExperimentData, ExperimentHub, Homo_sapiens_Data, OrganismData, SpecimenSource, Tissue |
Version | 1.4.0 |
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 |
See More
Suggests | knitr, 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_1.4.0.tar.gz |
Windows Binary | |
macOS Binary (x86_64) | |
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 |