eoPredData
This is the released version of eoPredData; for the devel version, see eoPredData.
ExperimentHub package containing model data for predicting preeclampsia status for based on plcaental DNA methylation profile
Bioconductor version: Release (3.20)
Provides access to eoPred pretrained model hosted on ExperimentHub. Model was trained on placental DNA methylation preeclampsia samples using mixOmics splsda. There are two resources: 1. the model object, and 2. a testing data set used to demonstrate the function.
Author: Iciar Boyano [aut], Victor Yuan [aut, cre]
Maintainer: Victor Yuan <victor.2wy at gmail.com>
citation("eoPredData")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("eoPredData")
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("eoPredData")
eoPredData | HTML | R Script |
Reference Manual | ||
LICENSE | Text |
Details
biocViews | ExperimentData, ExperimentHub, GEO, Homo_sapiens_Data, MethylationArrayData, Tissue |
Version | 1.0.0 |
License | MIT + file LICENSE |
Depends | ExperimentHub |
Imports | |
System Requirements | |
URL | https://github.com/wvictor14/eoPredData |
Bug Reports | https://github.com/wvictor14/eoPredData/issues |
See More
Suggests | BiocStyle, knitr, rmarkdown, RefManageR, planet, mixOmics |
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 | eoPredData_1.0.0.tar.gz |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/eoPredData |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/eoPredData |
Package Short Url | https://bioconductor.org/packages/eoPredData/ |
Package Downloads Report | Download Stats |