GPA
This package is for version 3.18 of Bioconductor; for the stable, up-to-date release version, see GPA.
GPA (Genetic analysis incorporating Pleiotropy and Annotation)
Bioconductor version: 3.18
This package provides functions for fitting GPA, a statistical framework to prioritize GWAS results by integrating pleiotropy information and annotation data. In addition, it also includes ShinyGPA, an interactive visualization toolkit to investigate pleiotropic architecture.
Author: Dongjun Chung, Emma Kortemeier, Carter Allen
Maintainer: Dongjun Chung <dongjun.chung at gmail.com>
citation("GPA")
):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GPA")
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("GPA")
GPA | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Classification, Clustering, DifferentialExpression, GeneExpression, Genetics, GenomeWideAssociation, MultipleComparison, Preprocessing, SNP, Software, StatisticalMethod |
Version | 1.14.0 |
In Bioconductor since | BioC 3.11 (R-4.0) (4 years) |
License | GPL (>= 2) |
Depends | R (>= 4.0.0), methods, graphics, Rcpp |
Imports | parallel, ggplot2, ggrepel, plyr, vegan, DT, shiny, shinyBS, stats, utils, grDevices |
System Requirements | GNU make |
URL | http://dongjunchung.github.io/GPA/ |
Bug Reports | https://github.com/dongjunchung/GPA/issues |
See More
Suggests | gpaExample |
Linking To | Rcpp |
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 | GPA_1.14.0.tar.gz |
Windows Binary | GPA_1.14.0.zip |
macOS Binary (x86_64) | GPA_1.14.0.tgz |
macOS Binary (arm64) | GPA_1.14.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/GPA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/GPA |
Bioc Package Browser | https://code.bioconductor.org/browse/GPA/ |
Package Short Url | https://bioconductor.org/packages/GPA/ |
Package Downloads Report | Download Stats |