ASSET

DOI: 10.18129/B9.bioc.ASSET  

An R package for subset-based association analysis of heterogeneous traits and subtypes

Bioconductor version: Release (3.16)

An R package for subset-based analysis of heterogeneous traits and disease subtypes. The package allows the user to search through all possible subsets of z-scores to identify the subset of traits giving the best meta-analyzed z-score. Further, it returns a p-value adjusting for the multiple-testing involved in the search. It also allows for searching for the best combination of disease subtypes associated with each variant.

Author: Samsiddhi Bhattacharjee [aut, cre], Guanghao Qi [aut], Nilanjan Chatterjee [aut], William Wheeler [aut]

Maintainer: Samsiddhi Bhattacharjee <sb1 at nibmg.ac.in>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("ASSET")

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("ASSET")

 

PDF	R Script	ASSET Vignette
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	GenomeWideAssociation, MultipleComparison, SNP, Software, StatisticalMethod
Version	2.16.0
In Bioconductor since	BioC 2.13 (R-3.0) (9.5 years)
License	GPL-2 + file LICENSE
Depends	R (>= 3.5.0), stats, graphics
Imports	MASS, msm, rmeta
LinkingTo
Suggests	RUnit, BiocGenerics, knitr
SystemRequirements
Enhances
URL
Depends On Me	REBET
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	ASSET_2.16.0.tar.gz
Windows Binary	ASSET_2.16.0.zip
macOS Binary (x86_64)	ASSET_2.16.0.tgz
macOS Binary (arm64)	ASSET_2.16.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/ASSET
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/ASSET
Bioc Package Browser	https://code.bioconductor.org/browse/ASSET/
Package Short Url	https://bioconductor.org/packages/ASSET/
Package Downloads Report	Download Stats