GSE159526
This is the released version of GSE159526; for the devel version, see GSE159526.
Placental cell DNA methylation data from GEO accession GSE159526
Bioconductor version: Release (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("GSE159526")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
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 | ||
| LICENSE | Text |
Details
| biocViews | ExperimentData, ExperimentHub, GEO, Genome, Homo_sapiens_Data, MethylationArrayData, Tissue |
| Version | 1.12.0 |
| 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 | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | GSE159526_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/GSE159526 |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/GSE159526 |
| Package Short Url | https://bioconductor.org/packages/GSE159526/ |
| Package Downloads Report | Download Stats |