This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see GPA.
Bioconductor version: 3.17
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 (from within R,
enter citation("GPA")
):
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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GPA")
R Script | GPA | |
Reference Manual | ||
Text | NEWS |
biocViews | Classification, Clustering, DifferentialExpression, GeneExpression, Genetics, GenomeWideAssociation, MultipleComparison, Preprocessing, SNP, Software, StatisticalMethod |
Version | 1.12.0 |
In Bioconductor since | BioC 3.11 (R-4.0) (3.5 years) |
License | GPL (>= 2) |
Depends | R (>= 4.0.0), methods, graphics, Rcpp |
Imports | parallel, ggplot2, ggrepel, plyr, vegan, DT, shiny, shinyBS, stats, utils, grDevices |
LinkingTo | Rcpp |
Suggests | gpaExample |
SystemRequirements | GNU make |
Enhances | |
URL | http://dongjunchung.github.io/GPA/ |
BugReports | https://github.com/dongjunchung/GPA/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | GPA_1.12.0.tar.gz |
Windows Binary | GPA_1.12.0.zip |
macOS Binary (x86_64) | GPA_1.12.0.tgz |
macOS Binary (arm64) | GPA_1.12.0.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 |
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