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GSE159526

This is the development version of GSE159526; for the stable release version, see GSE159526.

Placental cell DNA methylation data from GEO accession GSE159526


Bioconductor version: Development (3.20)

19 term and 9 first trimester placental chorionic villi and matched cell-sorted samples ran on Illumina HumanMethylationEPIC DNA methylation microarrays. This data was made available on GEO accession [GSE159526](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE159526). Both the raw and processed data has been made available on \code{ExperimentHub}. Raw unprocessed data formatted as an RGChannelSet object for integration and normalization using minfi and other existing Bioconductor packages. Processed normalized data is also available as a DNA methylation \code{matrix}, with a corresponding phenotype information as a \code{data.frame} object.

Author: Victor Yuan [aut, cre]

Maintainer: Victor Yuan <victor.2wy at gmail.com>

Citation (from within R, enter citation("GSE159526")):

Installation

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


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

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

BiocManager::install("GSE159526")

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("GSE159526")
Introduction to GSE159526 HTML R Script
Reference Manual PDF
LICENSE Text

Details

biocViews ExperimentData, ExperimentHub, GEO, Genome, Homo_sapiens_Data, MethylationArrayData, Tissue
Version 1.11.0
License MIT + file LICENSE
Depends
Imports
System Requirements
URL https://github.com/wvictor14/GSE159526
Bug Reports https://github.com/wvictor14/GSE159526/issues
See More
Suggests ExperimentHub, BiocStyle, RefManageR, knitr, rmarkdown, testthat, minfi, tibble, sessioninfo
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package GSE159526_1.11.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/GSE159526
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GSE159526
Package Short Url https://bioconductor.org/packages/GSE159526/
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